Document ID: EPA-HQ-OAR-2003-0090-0255
Agency: epa
Document Type: Supporting & Related Material
Title: 
Posted Date: 2004-04-07T04:00Z

APPENDIX
C
ON­
ROAD
MOBILE
EMISSIONS
INVENTORY
DEVELOPMENT
SAN
ANTONIO
EAC
REGION
ATTAINMENT
DEMONSTRATION
MARCH
2004
1
TECHNICAL
NOTE
Transportation
Air
Quality
Technical
Support
Interagency
Contract
with
Texas
Commission
on
Environmental
Quality
TO:
Mary
McGarry­
Barber,
Project
Manager
DATE:
12
June
2003
Texas
Commission
on
Environmental
Quality
FROM:
Dennis
G.
Perkinson,
Ph.
D.,
Martin
E.
Boardman
and
L.
D.
White
Texas
Transportation
Institute
SUBJECT:
San
Antonio
Metropolitan
Statistical
Area
On­
Road
Mobile
Source
Modeling
Emissions
Inventories:
1999,
2007,
and
2012
(
Umbrella
Contract
3­
60200­
04:
Task
01)
­
Review
Draft
INTRODUCTION
This
technical
note
documents
the
methods
the
Texas
Transportation
Institute
(
TTI)
used
to
develop
1999,
2007
and
2012
September
day­
of­
week
hourly
on­
road
mobile
source
emissions
inventories
(
EIs)
for
the
four
San
Antonio
Metropolitan
Statistical
Area
(
SA/
MSA)
counties.
These
EIs
are
for
the
four
ozone
episode
days,
September
17
­
20,
1999
(
a
Friday,
Saturday,
Sunday,
and
Monday).
The
results
are
produced
in
the
form
of
photochemical
modelready
input
as
well
as
in
tabular
summaries.
This
task
is
in
support
of
the
SA/
MSA
Early
Action
Compact
air
quality
analyses.

The
four
SA/
MSA
counties
are
Bexar,
Comal,
Guadalupe,
and
Wilson.
The
emissions
basis
for
each
county
may
be
distinguished
as
either
link
or
virtual
link.
Emissions
are
estimated
on
a
transportation
network
link
basis
for
counties
with
travel
demand
models
(
TDM)
available
(
Bexar).
Emissions
are
estimated
on
a
"
virtual"
link
basis,
or
Highway
Performance
Monitoring
System
(
HPMS)
functional
class/
area
type
level,
for
counties
without
complete
TDMs
available
(
Comal,
Guadalupe,
and
Wilson).

The
September
1999
episode
day
climate
inputs
were
used
for
all
evaluation
years.
Emissions
estimates
were
developed
based
on
September
activity
characteristic
of
the
four
day
types:
Weekday
(
average
Monday
through
Thursday),
Friday,
Saturday,
and
Sunday.
2
Emissions
of
volatile
organic
compounds
(
VOC),
carbon
monoxide
(
CO),
and
oxides
of
nitrogen
(
NOx),
are
estimated
for
each
county
and
day
type
on
an
hourly
basis.
Emissions
are
categorized
by
28
vehicle
types
and
14
pollutant­
specific
emissions
types.
Geographical
coordinates
are
provided
for
the
TDM
network
links.

Documented
in
this
technical
note
are
the
methods
relating
to
calculating
inventory
elements
including
vehicle
miles
traveled
(
VMT),
speeds,
VMT
mix,
MOBILE6
emissions
factors,
and
emissions
estimates.

ACKNOWLEDGMENTS
Chris
Kite,
with
the
Texas
Commission
on
Environmental
Quality
(
TCEQ),
and
Martin
Boardman
and
L.
D.
White,
of
TTI,
contributed
to
the
development
of
the
MOBILE6
emissions
factors
input
data
parameter
values.
Boardman
produced
the
MOBILE6
model
set­
ups
used,
and
performed
the
emissions
factors
analyses.
Dennis
Perkinson,
Ph.
D.,
of
TTI,
developed
VMT
growth
factors,
seasonal
day­
of­
week
VMT
adjustment
factors,
hourly
VMT
allocation
factors,
and
VMT
mix.
White
processed
TDM­
based
VMT
and
modeled
congested
link
speeds.
Boardman
processed
HPMS­
based
VMT
and
modeled
congested
virtual
link
speeds
and
performed
the
emissions
estimations.
Each
member
of
the
assigned
TTI
staff
contributed
to
the
quality
assurance
of
the
EI
elements.
Dr.
Perkinson
was
the
principle
investigator
for
this
project.
This
work
was
performed
by
TTI
under
contract
to
TCEQ.
Mary
McGarry­
Barber
was
the
TCEQ
project
technical
manager.

Deliverables
Interim
deliverables
are
an
informal
Technical
Note
(
a
narrative
in
memorandum
format
that
explains
the
task,
the
approaches
used,
and
the
findings)
provided
to
the
Project
Manager
in
WordPerfect
6/
7/
8
format,
and
supported
by
electronic
document
files.
All
pertinent
data
are
being
submitted
in
specified
electronic
format.
(
There
is
no
FORTRAN
source
code
or
executable
files
developed
under
this
task.)
CD­
ROM
is
used
to
record
the
final
data
and
supporting
documentation.
TTI
is
providing
five
copies
of
the
final
report.
One
of
the
copies
is
an
unbound
original
suitable
for
copying.
Electronic
copies
of
all
materials
related
to
the
task
report
to
document
results
and
conclusions
(
e.
g.,
data,
work
files,
text
files,
etc.),
or
developed
as
work
products
under
this
contract
are
provided
as
requested
by
the
TCEQ
staff.

SUMMARY
OF
VMT
AND
EMISSIONS
Table
1
through
Table
4
summarize
the
SA/
MSA
episode
day
emissions
results
by
day
type
 
Weekday,
Friday,
Saturday,
and
Sunday
 
respectively.
Each
table
summarizes
the
daily
total
VMT,
average
speed
(
24­
hour
VMT
divided
by
vehicle
hours
traveled
[
VHT]),
and
VOC,
CO,
and
NOx
emissions
(
tons)
for
each
of
the
three
analysis
years
by
county
and
for
the
MSA.

The
full
results
of
the
emissions
analyses
include:
1)
individual
county
hourly
link­
emissions
files
in
the
detailed
disaggregate
photochemical
model
preprocessor
input
format,
and
2)
summary
EI
data
files
with
hourly
and
24­
hour
county,
vehicle
type,
and
road
type
summaries
of
VMT,
VHT,
average
speeds,
and
emissions
estimates.
These
data
files
for
each
evaluation
year
and
day
type
are
provided
on
CD­
ROM.
The
data
files
are
described
in
Appendix
A.

Table
1
SA/
MSA
September
Weekday*
On­
road
Mobile
Source
VMT,
Average
Speed,
and
Emissions
of
VOC,
CO,
NOx
(
Tons)

Year
County
VMT
Speed
VOC
CO
NOx
Bexar
35,568,471
28.7
82.09
936.22
121.87
Comal
3,050,355
46.4
6.15
82.59
11.65
Guadalupe
2,745,268
45.9
5.57
74.59
10.47
Wilson
751,538
43.0
1.57
19.89
1.89
1999
Total
42,115,632
30.5
95.38
1,113.29
145.88
3
Bexar
40,117,156
30.5
45.48
523.43
69.10
Comal
3,795,030
45.3
3.85
50.33
7.07
Guadalupe
3,353,050
44.9
3.42
45.10
6.48
Wilson
941,667
42.9
0.98
12.23
1.34
2007
Total
48,206,902
32.3
53.73
631.09
83.99
Bexar
43,924,214
30.6
33.72
438.53
41.42
Comal
4,298,309
44.4
2.99
43.04
4.26
Guadalupe
3,736,338
44.3
2.61
38.23
3.90
Wilson
1,057,777
42.8
0.75
10.54
0.84
2012
Total
53,016,637
32.3
40.07
530.34
50.42
*
Average
Monday
through
Thursday
activity,
September
20,
1999
meteorology.
4
Table
2
SA/
MSA
September
Friday*
On­
road
Mobile
Source
VMT,
Average
Speed,
and
Emissions
of
VOC,
CO,
NOx
(
Tons)

Year
County
VMT
Speed
VOC
CO
NOx
Bexar
40,657,377
27.2
80.49
912.05
113.60
Comal
3,486,780
46.1
5.88
80.62
10.55
Guadalupe
3,138,043
45.7
5.32
73.02
9.55
Wilson
859,063
43.0
1.49
19.26
1.84
1999
Total
48,141,263
29.0
93.17
1,084.95
135.54
Bexar
45,856,541
29.0
44.43
527.84
64.96
Comal
4,337,999
44.7
3.67
50.70
6.46
Guadalupe
3,832,783
44.4
3.26
45.72
5.96
Wilson
1,076,395
42.8
0.93
12.29
1.30
2007
Total
55,103,717
30.8
52.29
636.56
78.68
Bexar
50,208,261
29.1
32.77
449.32
41.08
Comal
4,913,283
43.6
2.85
43.93
4.09
Guadalupe
4,270,909
43.8
2.48
39.39
3.77
Wilson
1,209,116
42.7
0.71
10.68
0.87
2012
Total
60,601,568
30.8
38.82
543.33
49.81
*
Friday
activity
inputs,
September
17,
1999
meteorology.
5
Table
3
SA/
MSA
September
Saturday*
On­
road
Mobile
Source
VMT,
Average
Speed,
and
Emissions
of
VOC,
CO,
NOx
(
Tons)

Year
County
VMT
Speed
VOC
CO
NOx
Bexar
31,589,162
32.4
51.71
640.23
70.13
Comal
2,709,089
47.0
3.96
58.00
6.50
Guadalupe
2,438,135
46.4
3.59
52.05
5.79
Wilson
667,458
43.2
1.00
13.58
1.20
1999
Total
37,403,844
34.0
60.27
763.87
83.62
Bexar
35,628,952
34.3
28.38
369.52
41.12
Comal
3,370,452
46.2
2.44
36.33
4.13
Guadalupe
2,977,919
45.8
2.17
32.24
3.68
Wilson
836,316
43.0
0.62
8.60
0.84
2007
Total
42,813,639
35.7
33.62
446.69
49.77
Bexar
39,010,090
34.3
20.94
315.42
26.52
Comal
3,817,425
45.7
1.88
31.70
2.69
Guadalupe
3,318,326
45.4
1.64
27.84
2.38
Wilson
939,435
42.9
0.47
7.49
0.57
2012
Total
47,085,276
35.8
24.94
382.46
32.16
*
Saturday
activity
inputs,
September
18,
1999
meteorology.
6
Table
4
SA/
MSA
September
Sunday*
On­
road
Mobile
Source
VMT,
Average
Speed,
and
Emissions
of
VOC,
CO,
NOx
(
Tons)

Year
County
VMT
Speed
VOC
CO
NOx
Bexar
24,986,143
34.3
41.96
534.32
50.22
Comal
2,142,813
47.3
3.27
48.34
4.55
Guadalupe
1,928,496
46.6
2.96
43.30
4.06
Wilson
527,941
43.2
0.83
11.27
0.90
1999
Total
29,585,394
35.7
49.02
637.24
59.73
Bexar
28,181,632
35.6
22.97
302.66
30.16
Comal
2,665,934
46.7
2.00
29.72
2.97
Guadalupe
2,355,450
46.1
1.77
26.25
2.63
Wilson
661,502
43.1
0.51
7.00
0.63
2007
Total
33,864,519
37.0
27.25
365.62
36.39
Bexar
30,856,026
35.7
16.95
257.52
19.93
Comal
3,019,477
46.4
1.54
25.92
2.00
Guadalupe
2,624,703
45.9
1.34
22.60
1.75
Wilson
743,066
43.1
0.39
6.08
0.44
2012
Total
37,243,272
37.1
20.23
312.11
24.12
*
Sunday
activity
inputs,
September
19,
1999
meteorology.

OVERVIEW
OF
METHODOLOGY
To
develop
the
emissions
estimates
by
county,
one
of
two
methodologies
were
used
depending
on
whether
or
not
TDMs
were
available.

The
main
difference
in
the
methodologies
is
in
the
level
of
disaggregation
and
the
spatial
allocation
of
the
modeled
VMT
(
and
speeds).
For
the
TDM­
based
counties,
the
method
uses
network
links
where
emissions
are
estimated
directionally
at
the
link
level
for
thousands
of
links
where
geographical
coordinates
are
available.
For
counties
without
TDMs,
emissions
are
estimated
directionally
at
the
HPMS
functional
classification
and
area
type
level
for
up
to
21
functional
class
and
area
type
combinations
with
no
physical
coordinates.
The
method
for
using
HPMS
for
estimating
on­
road
mobile
source
emissions
is
detailed
in
the
TTI
document,
"
Near
Nonattainment
Emissions
Inventories
­
HPMS
Estimation
Method/
Speed
Model
Refinement
for
Counties
Without
Link­
Based
Travel
Demand
Models,"
June,
2000.
7
Aside
from
the
differences
in
the
methodologies
associated
with
the
VMT
basis,
the
overall
emissions
estimation
methods
are
basically
analogous.
The
HPMS­
based
emissions
inventories
may
be
thought
of
as
linkbased
for
a
virtual
network
consisting
of
larger
and
fewer
links.
For
the
purpose
of
further
discussion
in
this
report,
the
term
"
link"
means
both
TDM
network
link
and
the
HPMS
"
virtual"
link
(
or
HPMS
functional
class,
area
type
combination).
For
this
analysis,
emissions
are
estimated
directionally,
at
the
link
level,
by
hour­
of­
day,
for
each
county,
for
each
of
the
four
episode
days.

Emissions
factors
are
modeled
with
the
MOBILE6
model
(
October,
2002
release).
The
emissions
factors
are
modeled
by
hour,
MOBILE6
road
type
(
or
drive
cycle),
28
vehicle
types,
and
speed.
Texas
Low
Emissions
Diesel
(
LED)
NOx
benefits
were
modeled
in
the
diesel
vehicle
class
emissions
factors
via
post­
processing.
The
speed
sensitive
freeway
and
arterial
drive
cycle
emissions
factors
were
applied
 
freeway
emissions
factors
to
freeway
functional
classifications,
and
arterial
emissions
factors
to
non­
freeway
functional
classifications
(
except
for
network
links
coded
as
ramp).
The
non­
speed
sensitive
ramp
emissions
factors
were
applied
to
the
TDM
network
ramp
functional
classification
links.

The
activity
basis
for
the
TDM
counties
are
the
Texas
Department
of
Transportation
(
TxDOT)
TDM
network
equilibrium
traffic
assignments
and
trip
information
for
1999,
2007,
and
2015
networks.
Intermediate
evaluation
year
(
i.
e.,
2012)
VMT
are
estimated
using
growth
rates
with
annual
compounding
based
on
the
bounding
assignment
year
VMT
totals.
For
the
HPMS­
based
counties,
the
activity
basis
were
the
county
1999
historical
HPMS
VMT
and
2007
and
2012
VMT
forecasts.
The
HPMS­
county
VMT
forecasts
were
based
on
TxDOT
HPMS­
county
VMT
data
for
1990
through
2000
and
population
statistics
and
projections.

TxDOT
Automatic
Traffic
Recorder­
(
ATR)
based
September
day­
of­
week
VMT
factors
were
developed
and
applied
to
the
county
base
VMT
estimates
for
each
evaluation
year
to
produce
the
four
day
type­
specific,
seasonally
adjusted
VMT
estimates
for
each
year.
ATR­
based
hourly
travel
fractions
were
developed
for
each
of
the
four
September
day
types
and
used
to
allocate
the
VMT
for
each
county
by
hour­
of­
day.
Directional
split
factors
were
applied
to
allocate
the
hourly
VMT
by
peak
and
off­
peak
direction.
Based
on
the
estimated
hourly
directional
traffic
volumes
(
and
capacities
and
freeflow
speeds),
fleet­
level,
hourly,
directional,
average
operational
(
congested)
speeds
were
estimated.
The
link
congested
speed
is
estimated
as
the
link
freeflow
speed
reduced
by
the
"
delay"
estimate,
which
is
a
function
of
the
link's
volume­
to­
capacity
(
v/
c)
ratio.

Vehicle
classification
count
data
were
used
with
vehicle
registration
data
and
MOBILE6
default
gasoline/
diesel
fractions
to
estimate
24­
hour
regional
VMT
mixes
for
apportioning
fleetwide
functional
classification­
specific
VMT
for
three
functional
classification
groups
to
the
28
U.
S.
Environmental
Protection
Agency
(
EPA)
vehicle
types.
VMT
mixes
were
estimated
for
each
of
the
four
day
types.
8
Link
emissions
by
vehicle
type
were
calculated
by
hour
for
each
county
and
evaluation
year.
For
each
evaluation
year,
there
were
four
sets
of
hourly
emissions
files
(
24
files
per
day
type)
produced
for
each
county.
These
hourly
emissions
files
are
formatted
for
photochemical
grid
model
preprocessor
input.
The
hourly
emissions
estimates
include
emission
type
sub­
components
and
total
composites
in
grams
of
VOC,
CO,
and
NOx.
Tabular
emissions
summary
files
were
also
produced.

TTI
previously
developed
a
series
of
computer
programs
to
produce
detailed
on­
road
mobile
source
EIs.
These
computer
programs
were
used
to
produce
and/
or
apply
the
EI
elements
(
adjusted
operational
hourly
link
VMT
and
speeds,
VMT
mix,
and
MOBILE6
emissions
factors)
to
calculate
the
emissions
estimates
for
this
analysis.
Appendix
B
describes
these
applications.

ESTIMATION
OF
VMT
For
each
evaluation
year
and
county,
the
main
products
of
the
VMT
estimation
process
are
estimates
of
seasonally
adjusted,
day
type­
specific,
HPMS­
consistent
VMT
by
hour
and
direction
for
each
link
(
i.
e.
of
the
TDM
networks
for
Bexar
County
and
the
HPMS
"
virtual
network"
for
Comal,
Guadalupe,
and
Wilson
counties).

Growth
estimates
were
developed
and
applied
to
estimate
VMT
for
evaluation
years
where
historical
VMT
estimates,
or
modeled
VMT
estimates
were
not
available.
Seasonal
(
September),
day
type
(
Weekday,
Friday,
Saturday,
Sunday)
adjustment
factors
and
hourly
travel
factors
were
also
developed
and
used
to
characterize
the
seasonal
and
day
type
travel
on
an
hourly
basis.
The
directional
split
factors
were
applied
for
estimating
directional
VMT
(
or
traffic
volumes)
for
modeling
directional
congested
link
speeds
(
discussed
later).

Data
Sources
There
are
four
traffic
data
sources
used
for
developing
the
required
adjustment
factors
and
VMT
estimates.
These
are
the
TDM
data
sets,
ATR
counts,
HPMS
VMT
estimates,
and
vehicle
classification
counts
(
used
to
estimate
VMT
mix).
The
TDMs
are
developed
by
TxDOT,
and
the
other
three
data
sets
are
collected
by
TxDOT
on
a
formal
and
on­
going
basis
as
part
of
the
larger
HPMS
data
collection
program.
U.
S.
Census
and
Texas
State
Data
Center
(
TSDC)
county
population
statistics
and
projections
were
used
in
the
HPMS
VMT
forecasts.

The
latest
San
Antonio
1999,
2007,
and
2015
TDM
networks
and
trip
matrices
were
used
for
this
analysis.
The
networks
and
trip
matrices
were
intitialy
in
TRANPLAN
format.
Using
a
series
of
steps,
these
networks
and
trip
matrices
were
converted
to
TRANSCAD
and
a
user­
equilibrium
traffic
assignment,
with
24
iterations
and
0.0001
convergence,
was
performed
on
each
network.
The
zonal
radii
(
assumed
intrazonal
trip
length)
was
also
calculated
for
each
network
from
the
TRANSCAD
format.
Because
the
estimated
intrazonal
trips
are
not
assigned
to
the
network,
the
intrazonal
trips
and
zonal
radii
were
needed
to
estimate
the
intrazonal
VMT.
The
TDM
VMT
are
modeled
as
annual
non­
summer
weekday
traffic
(
ANSWT,
or
average
Monday
through
Thursday
traffic
excluding
the
months
of
June
through
August).
The
San
Antonio
TDM
network
links
are
categorized
by
up
to
15
functional
classifications,
five
area
types,
and
three
counties
(
Bexar,
Comal,
and
Guadalupe).
However,
only
one
county
(
Bexar)
is
located
entirely
within
the
TDM
area
(
i.
e,
Comal
and
Guadalupe
counties
do
not
play
a
role
in
the
TDM
VMT
and
speed
estimation
process).

HPMS
VMT
annual
average
daily
traffic
(
AADT,
or
average
Monday
through
Sunday,
January
through
December
traffic)
estimates
are
based
on
traffic
count
data
collected
according
to
a
statistical
sampling
procedure
specified
by
the
Federal
Highway
Administration
(
FHWA)
designed
to
estimate
VMT
(
as
well
as
lane
miles
and
centerline
miles).
A
wide
range
of
traffic
data
is
collected
under
the
HPMS
program.
HPMS
VMT,
centerline
miles,
and
lane
miles
are
applied
in
this
analysis.
The
HPMS
VMT
is
categorized
by
seven
functional
classifications
and
three
area
types.

ATR
vehicle
counts
are
collected
by
TxDOT
at
selected
locations
on
a
continuous
basis
throughout
Texas.
These
counts
are
available
by
season,
month,
and
weekday,
as
well
as
on
an
AADT
basis.
Since
they
are
continuous,
they
are
especially
well­
suited
for
making
seasonal,
day­
of­
week,
and
time­
of­
day
comparisons
(
i.
e.,
adjustment
factors),
even
though
there
may
be
relatively
few
ATR
data
collection
locations
in
any
given
area.
The
ATR
counts
may
also
may
be
aggregated
within
time
periods
(
e.
g.,
hours
of
day)
and
in
the
form
of
allocation
factors,
to
distribute
24­
hour
VMT
estimates,
for
example,
to
each
hour
of
the
day.
9
Vehicle
classification
counts
are
collected
at
representative
locations
throughout
Texas
on
a
regular
but
periodic
basis.
Roadway
functional
classification
is
included
as
part
of
the
data
collected.
Vehicle
classification
counts
were
used
to
estimate
the
relative
proportion
of
VMT
to
be
assigned
to
each
type
of
vehicle
(
VMT
mix
is
described
later
in
this
report).

HPMS
VMT
estimates
are
available
for
all
counties.
ATR
and
vehicle
classification
(
VMT
mix)
data
are
available
for
most
but
not
all
counties.
Consequently,
these
last
two
data
sources
were
aggregated
for
the
SA/
MSA
to
provide
adequate
data
for
this
analysis.

County­
Level
VMT
Totals
This
section
discusses
the
seasonal
adjustment
factors,
the
HPMS
adjustment
for
TDM
future
year
VMT,
development
of
the
VMT
totals
for
the
TDM­
based
county,
and
development
of
the
VMT
totals
for
the
HPMSbased
counties.

Seasonal
Day­
of­
Week
Factors
Emissions
estimates
are
required
for
the
September
Weekday,
Friday,
Saturday,
and
Sunday
day
types.
Since
the
evaluation
year
base­
VMT
estimates
are
either
in
AADT
form
(
HPMS­
based)
or
ANSWT
form
(
TDM­
based),
September
day­
type
adjustment
factors
are
needed
to
convert
VMT
from
both
of
these
forms
of
VMT.
To
develop
the
two
September
day
type
conversion
factor
sets
for
this
analysis,
three
years
(
1999
through
2001)
of
SA/
MSA
ATR
data
are
aggregated.

The
two
sets
of
SA/
MSA
level
September
day
type
factors
include
four
ratios
each,
which
are
the
September
average
Weekday,
Friday,
Saturday,
and
Sunday
volumes
to
AADT
volume,
and
the
September
average
Weekday,
Friday,
Saturday,
and
Sunday
volumes
to
ANSWT
volume.

These
MSA
level
factors
are
used
for
all
evaluation
years
to
convert
either
AADT
VMT
or
ANSWT
VMT
to
the
selected
seasonal
day
type
form.
The
September
Weekday,
Friday,
Saturday,
and
Sunday
adjustment
factors
are
shown
in
Table
5.

Table
5
SA/
MSA­
Level
September
Day­
Type
VMT
Factors*

Day­
Type
For
Conversion
from
ANSWT
For
Conversion
from
AADT
Weekday**
0.98018
1.03667
Friday
1.12041
1.18499
Saturday
0.87052
0.92069
Sunday
0.68856
0.72824
*
Factors
are
based
on
SA/
MSA
county
ATR
data
from
1999
through
2001.
**
Average
Monday
through
Thursday.

HPMS
Adjustment
for
TDM
Future
Year
VMT
For
air
quality
analyses,
TDM
network
traffic
assignment
VMT
are
adjusted
to
consistency
with
HPMS
VMT.
For
TDM
model
analysis
years
where
historical
official
HPMS
VMT
estimates
are
available,
county
HPMS
VMT
control
totals
are
disaggregated
to
the
network
links
proportionally
to
the
model
VMT
(
including
the
intrazonal
estimate)
on
each
link.
A
different
adjustment
must
be
made
for
the
future
years.
10
The
HPMS
adjustment
for
the
future
year
network
(
including
intrazonal)
VMT
is
performed
using
the
TDM
validation
year
(
i.
e.
1995
for
the
San
Antonio
network)
HPMS
factor.
This
factor
is
the
ratio
of
1995
HPMS
ANSWT
VMT
(
adjusted
to
ANSWT
form
with
ATR­
based
"
AADT
to
ANSWT
factor"
of
1.05581)
to
1995
TDM
ANSWT
VMT
(
including
the
intrazonal
estimate).
Since
Bexar
County
is
the
only
county
completely
contained
within
the
TDM
area,
the
HPMS
factor
for
Bexar
County
was
developed
and
applied
only
to
the
future
year
link
VMT
for
that
county.
The
1995
model
validation
year
HPMS
factor
Bexar
County
is
1.01083779.
The
calculation
of
this
factor
and
the
actual
values
used
in
this
calculation
are
shown
below.

HPMS
VMT
(
AADT)
×
ANSWT
Adjustment
Factor
=
HPMS
VMT
(
ANSWT)

HPMS
VMT
(
ANSWT)
/
Model
VMT
(
ANSWT)
=
HPMS
Factor
Bexar
County:
1,351,818
×
1.02135
=
1,380,679.3
(
HPMS
ANSWT
VMT)
1,380,679.3
/
1,849,830.0
=
0.74638173
(
HPMS
Factor)
11
Estimation
of
TDM­
Based
County
VMT
Totals
To
calculate
the
HPMS
consistent
TDM­
based
county
VMT
totals
for
each
evaluation
year
and
day
type,
three
main
steps
were
applied.
First,
the
seasonal
day­
type
specific
1999
and
2007
evaluation
year
VMT
were
estimated,
as
the
TDM
network
assignments
were
available
for
these
two
evaluation
years.
Next,
growth
rates
were
estimated
for
use
in
factoring
the
2015
network
link
VMT
estimates
to
the
2012
intermediate
year
VMT
values.
Finally,
the
adjustment
factor
sets
were
applied
to
the
appropriate
networks
to
produce
the
September
day­
type
link
VMT
for
each
county
for
the
remaining
evaluation
years
(
hourly
and
directional
factors
are
discussed
later).

Since
TDMs
do
not
assign
intrazonal
VMT
to
the
network
links,
intrazonal
VMT
is
estimated
and
assigned
a
link
(
i.
e.
A­
node
=
B­
node
=
zone
centroid).
Each
of
the
24­
hour
TDM
network
data
sets
(
1999,
2007,
and
2015)
were
processed
to
produce
link
estimates
for
total
ANSWT
VMT
to
include
both
the
network
and
intrazonal
VMT
(
which
is
assumed
to
be
a
part
of
the
"
local"
road
type
VMT
estimate).
The
intrazonal
VMT
is
estimated
as
the
product
of
the
number
of
intrazonal
trips,
the
average
intrazonal
travel
time,
and
the
average
of
the
zone's
coded
centroid
connector
link
speeds.

For
the
1999
evaluation
year
the
official
historical
1999
HPMS
AADT
VMT
estimate
is
available.
To
estimate
the
1999
link
VMT,
county­
level
seasonal
day
type­
adjusted
HPMS
VMT
control
totals
were
used.
These
control
totals
were
disaggregated
to
the
1999
TDM
network
assignment
links
proportionally
to
the
unadjusted
model
(
and
added
intrazonal)
VMT
on
each
link.
The
Bexar
county
1999
seasonal
day­
type
control
totals
are
calculated
by
multiplying
the
Bexar
county
HPMS
AADT
VMT
total
by
the
seasonal
day­
type
factor
(
for
AADT,
see
Table
5
above).
This
calculation
was
performed
for
each
of
the
four
day
types.
Since
Comal
and
Guadalupe
counties
are
only
partially
within
the
TDM
area,
this
process
is
not
applied
to
the
TDM
link
VMT
for
those
counties
and
the
assigned
network
VMT
is
assumed
to
be
the
control
totals.

For
the
2007
evaluation
year,
the
link
VMT
estimates
were
calculated
by
multiplying
the
unadjusted
TDM
link
(
and
intrazonal)
VMT
by
two
factors:
the
1997
TDM
validation
year
county­
level
HPMS
factor
(
described
above),
and
the
SA/
MSA
level
seasonal
day
type
factor
(
for
ANSWT,
Table
5
above).
Since
Comal
and
Guadalupe
counties
are
only
partially
contained
within
the
TDM
network,
the
HPMS
factor
and
seasonal
day
type
factor
are
assumed
as
1.0
(
i.
e,
the
VMT
for
these
counties
are
not
considered
in
the
TDM
VMT
estimation
process).

To
estimate
the
link
VMT
for
the
intermediate
year
(
2012)
a
growth
rate
for
Bexar
County
was
developed.
A
growth
rate
was
computed
using
the
HPMS
consistent
link
and
intrazonal
TDM
VMT
estimates
from
the
2007
and
2015
TDMs.
The
estimated
annual
growth
rate
for
Bexar
County
is
1.01829773.
This
growth
rate
was
then
transformed
to
a
factor
used
to
convert
the
2015
link
VMT
estimates
to
the
2012
link
VMT
estimates.
This
conversion
factor
is
calculated
as
the
annual
growth
rate
to
the
power
of
the
target
year
minus
the
base
year
(
i.
e.
conversion
factor
=
[
1.01829773]
2012­
2015).
The
conversion
factor
for
Bexar
County
is
0.94705603.

The
2012
link­
VMT
estimates
were
calculated
by
multiplying
the
2015
network
and
intrazonal
unadjusted
link
VMT
by
the
1997
validation
year
HPMS
factor,
the
2015
to
2012
conversion
factor,
and
the
September
day
type
factor.
As
with
the
previous
TDM
VMT
adjustments,
Comal
and
Guadalupe
counties
are
exempt
from
these
adjustments
since
they
are
not
completely
within
the
TDM
area
(
i.
e,
all
VMT
factors
are
assumed
as
1.0).
This
procedure
was
performed
for
each
of
the
four
September
day
type
factors
to
produce
the
2012
September
Weekday,
Friday,
Saturday,
and
Sunday
link­
VMT
estimates
for
each
county.

The
fully
adjusted
county­
level
evaluation
year
September
Weekday,
Friday,
Saturday,
and
Sunday
VMT
totals
are
summarized
in
Tables
1
through
4,
respectively.

HPMS
Counties
The
base
link
VMT
for
the
HPMS­
based
counties
is
AADT.
The
1999
evaluation
year
base­
VMT
estimate
is
the
historical
HPMS
VMT
total
for
each
county.
For
the
evaluation
years
with
no
historical
HPMS
AADT
VMT
estimates
available,
HPMS
AADT
forecasts
were
made.

TxDOT
HPMS
AADT
VMT
data
for
each
county
for
1990
through
2000,
in
combination
with
official
(
i.
e.,
U.
S.
Census
and
TSDC)
county
population
statistics
and
projections,
were
used
to
develop
VMT
forecasts.
More
specifically,
there
are
conceptually
two
types
of
VMT,
local
and
through.
Local
VMT
is
generated
by
the
residents
12
of
the
county.
Through
VMT
is
generated
by
persons
and
vehicles
passing
through
the
county.
The
relative
importance
varies
by
the
proximity
of
the
county
to
large
urban
areas
(
that
generate
substantial
VMT
of
their
own).

Theoretically,
local
VMT
is
more
closely
related
to
population,
while
through
VMT
is
more
closely
related
to
historical
VMT.
Though
these
distinctions
are
not
absolute
(
i.
e.,
local
VMT
is
not
independent
of
historical
patterns
and
through
VMT
is
not
independent
of
county
population),
they
imply
very
different
strategies
for
forecasting.
Local
VMT
is
likely
to
be
a
function
of
population,
while
through
VMT
is
likely
to
be
a
function
of
historical
VMT
(
i.
e.,
growth).
If
used
alone,
however,
each
tends
to
err
in
a
different
direction.
Population­
based
forecasts
(
i.
e.,
VMT
per
capita)
tend
to
under
estimate
future
VMT,
especially
in
small
counties
adjacent
to
large
urban
areas.
Conversely,
historical­
based
(
i.
e.,
growth
trend)
forecasts
tend
to
over
estimate
future
VMT,
especially
in
areas
where
there
has
been
recent
atypical
rapid
growth.

Viewed
differently,
however,
these
two
forecast
strategies
define
the
boundaries
of
the
forecast,
that
is,
defining
a
range
that
will
produce
credible
results.
Consequently,
the
strategy
adopted
for
the
HPMS­
based
counties
(
Comal,
Guadalupe,
and
Wilson)
was
to
use
the
midpoint
of
the
two
forecasts.
In
other
words,
both
methods
were
used.
First,
a
forecast
was
developed
for
each
county
with
a
per
capita­
based
method
using
a
VMT
to
population
ratio
(
based
on
1990
through
2000
population
and
VMT)
applied
to
future
official
TSDC
population
projections.
Next,
a
traditional
regression
analysis
was
performed
on
the
historic
HPMS
VMT
data
from
1990
to
2000
to
develop
coefficients
that
were
then
used
to
forecast
future
VMT
for
each
near
nonattainment
county.
Then,
the
two
forecasts
were
combined
and
the
midpoint
calculated.
The
midpoint
of
the
two
methods
was
used
as
the
forecast
VMT
value
for
each
county
for
each
forecast
year.

Table
6
shows
the
county
level
AADT
VMT
estimates,
1999
official
historical
and
future
year
forecasts.

Table
6
County­
Level
HPMS
Historical
and
Forecast
AADT
VMT
Estimates
Year
Comal
Guadalupe
Wilson
1999
2,942,456
2,648,162
724,954
2007
3,660,790
3,234,444
908,357
2012
4,146,266
3,604,174
1,020,359
These
AADT
estimates
were
adjusted
to
each
of
the
four
September
day
type
control
total
values
(
as
shown
in
Tables
1
through
4)
using
the
seasonal
day
type
factors
for
conversion
of
VMT
from
the
AADT
form
(
Table
5).
To
allocate
county
control
total
VMT
by
the
HPMS
functional
classifications,
1999
historical
official
HPMS
functional
class
and
area
type
(
virtual
link)
AADT
VMT
proportions
were
used.
By
county,
for
each
evaluation
year
and
day
type,
the
VMT
control
totals
were
disaggregated
to
the
HPMS
virtual
links
proportionally
to
the
2000
HPMS
AADT
VMT
on
each
link.

Hourly
Travel
and
Directional
Factors
Emissions
estimates
are
required
by
hour
during
September
for
each
of
the
four
day
types.
Since
the
VMT
forecasts
are
24­
hour
estimates,
hourly
travel
factors
are
required
to
apportion
the
VMT
to
each
hour
of
the
day.

TxDOT
continuous
ATR
data
(
for
1999
and
2001)
from
the
SA/
MSA
counties
were
aggregated
to
develop
MSA
level
hourly
travel
factors
for
application
at
the
county
level.
Hourly
travel
factors
were
developed
for
each
of
the
four
day
types.
Using
the
September
day
type­
specific
volumes,
these
factors
are
the
ratio
of
hourly
volumes
to
24­
hour
volume.
Table
7
shows
the
hourly
travel
factors
for
the
SA/
MSA
counties.
13
The
MSA­
level
hourly
factors
were
applied
to
the
24­
hour
link
VMT
estimates
for
each
county
to
produce
the
hourly
link
VMT
estimates
for
each
of
the
four
day
types.
The
same
set
of
hourly
factors
were
applied
for
all
evaluation
years.
14
Table
7
Hourly
Travel
Factors*
for
the
SA/
MSA
Hour
Weekday**
Friday
Saturday
Sunday
12:
00
a.
m.
0.00922
0.00914
0.02178
0.02880
1:
00
a.
m.
0.00569
0.00607
0.01444
0.01928
2:
00
a.
m.
0.00522
0.00561
0.01331
0.01806
3:
00
a.
m.
0.00429
0.00419
0.00810
0.01083
4:
00
a.
m.
0.00637
0.00608
0.00732
0.00745
5:
00
a.
m.
0.01657
0.01496
0.01125
0.00917
6:
00
a.
m.
0.05101
0.04510
0.02109
0.01462
7:
00
a.
m.
0.07734
0.07028
0.03184
0.01981
8:
00
a.
m.
0.06463
0.05810
0.04166
0.02682
9:
00
a.
m.
0.04881
0.04591
0.04898
0.04041
10:
00
a.
m.
0.04764
0.04645
0.05564
0.05123
11:
00
a.
m.
0.05209
0.05177
0.06210
0.05792
12:
00
p.
m.
0.05429
0.05460
0.06636
0.06880
1:
00
p.
m.
0.05584
0.05603
0.06656
0.07280
2:
00
p.
m.
0.05933
0.05986
0.06688
0.07384
3:
00
p.
m.
0.06724
0.06671
0.06575
0.07282
4:
00
p.
m.
0.07663
0.07337
0.06388
0.07209
5:
00
p.
m.
0.08131
0.07476
0.06210
0.07028
6:
00
p.
m.
0.06384
0.06291
0.05990
0.06612
7:
00
p.
m.
0.04558
0.05092
0.05383
0.05577
8:
00
p.
m.
0.03732
0.04143
0.04672
0.04780
9:
00
p.
m.
0.03172
0.03724
0.04284
0.04000
10:
00
p.
m.
0.02285
0.03370
0.03812
0.03226
11:
00
p.
m.
0.01517
0.02481
0.02955
0.02302
*
Based
on
1999
through
2001
SA/
MSA
aggregate
ATR
count
data.
**
Average
Monday
through
Thursday.
15
Finally,
the
VMT
were
apportioned
by
direction
to
allow
for
differences
in
congestion
levels
based
on
the
direction
of
traffic
flow.
Directional
volumes
are
required
for
modeling
directional
operational
speeds,
discussed
in
the
next
section.
The
directional
split
ratio
applied
for
the
HPMS­
based
counties
is
60/
40
based
on
aggregate
observed
values
for
areas
where
data
are
available.
The
directional
splits
used
for
the
TDM­
based
counties
vary
by
network
functional
classification
and
area
type
and
by
peak
and
off­
peak
travel
periods.
The
directional
splits
and
their
corresponding
travel
periods
for
the
TDM­
based
analysis
are
listed
in
Appendix
C.

Tables
8
and
9,
respectively,
show
the
San
Antonio
TDM
network
functional
classes
and
area
types.
Table
10
shows
the
HPMS
functional
classes
and
area
types.
16
Table
8
San
Antonio
TDM
Network
Functional
Classifications
Functional
Class
Code
Functional
Class
Name
0
Local
Roads
1
Radial
Freeway
2
Radial
Parkway
3
Expressway
4
Primary
Arterial
Divided
5
Primary
Arterial
Undivided
6
Minor
Arterial
Divided
7
Minor
Arterial
Undivided
8
Collectors
Divided
9
Collectors
Undivided
10
Frontage
Road
11
Ramp
12
Circumferential
Freeway
13
Circumferential
Parkway
14
Circumferential
Arterial
35
HOV*

40
Intrazonal
*
Only
used
2015
network
but
classified
as
Radial
Freeway
due
to
lack
of
data
for
HOV.
17
Table
9
San
Antonio
TDM
Network
Area
Types
Area
Type
Code
Area
Type
Name
1
Central
Business
District
(
CBD)

2
Urban
3
Urban
Residential
4
Suburban
5
Rural
6
Military
Table
10
HPMS
Functional
Classes
and
Area
Types
HPMS
Area
Type*
HPMS
Roadway
Functional
Classification
Rural
Small
Urban
Urban
Interstate
Freeway
Other
Principal
Arterial
Minor
Arterial
Major
Collector
Minor
Collector
Local
*
For
this
analysis,
the
Urban
area
type
is
for
population
of
50,000
+.

Hourly
and
24­
hour
VMT
summaries
(
by
day
type,
road
type,
and
vehicle
type)
are
included
with
the
EI
data
provided
on
CD­
ROM.
Appendix
A
lists
the
electronic
data
files
with
descriptions.

ESTIMATION
OF
SPEEDS
Speed
is
a
critical
parameter
for
estimating
emissions.
Similarly,
capacity
and
freeflow
speed
(
and
traffic
volume,
as
discussed
in
the
previous
section)
are
critical
parameters
for
determining
speed.
Capacity
is
the
maximum
flow
past
a
given
point
on
a
roadway.
It
varies
by
the
type
of
roadway
(
i.
e.,
by
functional
classification).
Freeflow
speed
is
the
maximum
speed
that
traffic
will
move
along
a
given
roadway
if
there
are
no
impediments
(
e.
g.,
congestion,
bad
weather).
To
estimate
a
link's
(
or
"
virtual"
link,
in
the
case
of
HPMS­
based
analyses)
directional,
time­
of­
day
congested
speed,
a
speed
model
involving
both
the
estimated
freeflow
speed
and
estimated
directional
delay
as
a
function
of
volume
and
capacity
for
the
link
and
time­
period
is
applied.
The
model
is
applied
to
each
link
(
except
for
TDM
centroid
connectors
and
the
special
intrazonal
links)
for
each
time
period
and
direction.
Development
of
the
link
capacities
and
freeflow
speeds
input
to
the
speed
model
is
first
discussed,
followed
by
the
model
delay
and
congested
speed
equations.
18
Capacities
and
Freeflow
Speeds
for
HPMS­
based
Analysis
The
capacities
and
freeflow
speeds
used
for
the
HPMS­
based
county
analyses
all
come
from
the
Highway
Capacity
Manual
(
HCM).
For
HPMS
functional
classifications
1
and
2
(
interstate
and
freeway),
both
capacities
and
freeflow
speeds
are
taken
directly
from
the
HCM
(
3­
3).
The
capacity
(
2,200
passenger
cars
per
hour
per
lane
[
pcphpl])
and
freeflow
speed
(
70
mph)
for
four­
lane
freeways
was
used
for
all
interstates,
regardless
of
area
type.
Similarly,
a
freeflow
speed
of
65
mph
and
capacity
of
2,100
pcphpl
was
used
for
all
freeways
(
HCM
figure
3­
2a).

HPMS
functional
classifications
3,
4,
5,
6,
and
7
(
principal
arterial,
minor
arterial,
major
collector,
minor
collector,
and
local)
have
traffic
control
devices
(
i.
e.,
signals
or
stop
signs)
that
determine
their
capacities.
The
capacities
of
these
signalized
roadways
were
calculated
based
on
signalized
intersection
capacity
defined
as
shown
(
HCM
1994:
9­
5,
equation
9­
3):

Ci=
Si
×
(
gi/
C)

Where:

Ci
=
capacity
of
lane
group
i,
vehicles
per
hour
(
vph);
Si
=
saturation
flow
rate
of
lane
group
i,
vehicles
per
hour
of
effective
green
time
(
vphg);
and
gi/
c
=
effective
green
ratio
for
lane
group
i.

The
saturation
flow
rate
(
Si)
is
the
flow
in
vph
that
could
be
accommodated
by
the
lane
group
assuming
that
the
green
phase
was
always
available
to
the
lane
group
(
i.
e.,
green
ratio
=
1.0).
Computation
of
the
adjusted
saturation
flow
rate
begins
with
the
ideal
saturation
flow
rate
of
1,900,
which
is
adjusted
to
reflect
variance
from
ideal
conditions.
The
saturation
flow
rate
was
adjusted
for
area
type
using
the
following
assumptions
(
HCM
1994:
9­
14,
equation
9­
12):

S
=
N
×
fw
×
fhv
×
fg
×
fp
×
fbb
×
fa
×
frt
×
flt
Where:

S
=
saturation
flow
rate
factor
(
rounded
to
two
decimal
places);
N
=
number
of
lanes
in
the
lane
group;
fw
=
lane
width
adjustment
factor
(
12­
foot
lane
for
all
area
types
assumed);
fhv
=
heavy
vehicle
adjustment
factor
(
five
percent
heavy
vehicles
for
all
area
types
to
adjust
for
passenger
car
equivalents,
not
to
be
confused
with
VMT
mix);
fg
=
approach
grade
factor
(
level
terrain
assumed
for
all
area
types);
fp
=
parking
lane
adjustment
(
none
for
rural
areas,
one
maneuver
per
hour
for
urban
areas);
fbb
=
bus
blocking
factor
(
none
for
rural
areas,
10
per
hour
for
urban
areas,
mid­
point
for
small
urban
areas);
fa
=
area
type
adjustment
(
0.9
for
urban
area,
1.0
for
all
other
areas);
frt
=
right
turn
adjustment
factor
(
shared
lane
for
right
turns
for
all
area
types,
high
pedestrian
crossing
for
urban
areas,
moderate
for
small
urban
areas,
and
low
for
rural);
and
flt
=
left
turn
adjustment
factor
(
exclusive
left
turn
lanes
and
protected
phasing
for
rural
areas,
shared
left
turn
lanes
and
protected
plus
permitted
phasing
for
urban
areas,
mid­
point
for
small
urban
areas).

Table
11
shows
the
saturation
flow
rate
adjustment
factors
used
for
the
three
different
area
types.

Table
11
Saturation
Flow
Rate
Adjust
Factors
by
Area
Type
Area
Type
fw
fhv
fg
fp
fbb
fa
frt
flt
19
Rural
1
0.95
1
1
1
1
0.98
0.95
Small
Urban
1
0.95
1
0.98
0.98
1
0.94
0.90
Urban
1
0.95
1
0.95
0.96
0.90
0.90
0.85
Table
12
shows
the
effective
green
ratios
used
for
different
functional
classes.
The
same
ratios
were
used
for
all
area
types.
(
Interstates
and
freeways
are
unsignalized
and
do
not
require
green
ratios.)

Table
12
Effective
Green
Ratios
(
gi/
C)
by
HPMS
Roadway
Functional
Classification
Principal
Arterial
Minor
Arterial
Major
Collector
Minor
Collector
Local
0.60
0.55
0.50
0.40
0.30
Table
13
shows
the
adjusted
saturation
flow
rate
(
expressed
in
pcphpl)
for
all
signalized
streets
(
i.
e.,
not
interstate
or
freeway)
for
the
three
area
types.

Table
13
Adjusted
Saturation
Flow
Rate
(
pcphpl)
by
Area
Type
HPMS
Area
Type
Ideal
Flow
Adjustment
Factor
Adjusted
Saturation
Flow
Rural
0.88
1,672
Small
Urban
0.77
1,463
Urban
1,900
0.59
1,121
The
freeflow
speed
for
rural
and
urban
arterials
(
FC­
3
and
FC­
4)
were
taken
directly
from
HCM
(
HMC
1994:
7­
10
and
11­
6,
respectively).
The
freeflow
speed
for
other
functional
classes
decreases
from
arterial
freeflow
speed
by
5
mph
increments.
No
freeflow
speed
is
below
30
mph.
Table
14
shows
the
hourly
lane
capacities
for
all
functional
classes
and
area
types.

Table
14
Hourly
Lane
Capacities
(
vehicles
per
hour
per
lane
[
vphpl])

HPMS
Roadway
Functional
Classification
HPMS
Area
Type
Interstate
Freeway
Other
Principal
Arterial
Minor
Arterial
Major
Collector
Minor
Collector
Local
Rural
2,200
2,100
1,003
920
836
669
502
20
Small
Urban
2,200
2,100
878
805
732
585
439
Urban
2,200
2,100
673
617
561
448
336
Similarly,
freeflow
speeds
are
provided
for
each
of
the
three
area
types
and
seven
roadway
functional
classifications
(
or
21­
HPMS
virtual
links).
Table
15
shows
the
freeflow
speeds.
21
Table
15
Freeflow
Speeds
(
mph)

HPMS
Roadway
Functional
Classification
HPMS
Area
Type
Interstate
Freeway
Other
Principal
Arterial
Minor
Arterial
Major
Collector
Minor
Collector
Local
Rural
70
65
55
50
40
35
30
Small
Urban
70
65
45
40
35
30
30
Urban
70
65
40
35
30
30
30
V/
C
ratios
were
generated
for
each
combination
of
time
period,
roadway
functional
classification,
area
type,
and
direction
using
these
capacities
and
VMT.
The
following
describes
the
calculation
for
this
procedure:

·
Volume:
VMT
was
multiplied
by
each
24
hourly
time
period
factors
yielding
VMT
for
each
time
period.
VMT
per
time
period
was
divided
by
centerline
miles,
yielding
volume
for
each
time
period.
This
procedure
was
performed
for
each
combination
of
time
period,
roadway
functional
classification,
area
type,
and
direction.

·
Capacity:
Lane
miles
were
divided
by
centerline
miles
to
produce
lanes.
Lanes
were
multiplied
by
the
lane
capacities
(
i.
e.,
adjusted
saturation
flows)
generated
by
the
process
described
above,
producing
hourly
lane
capacities.
Hourly
lane
capacities
were
multiplied
by
the
number
of
hours
in
the
time
period
to
produce
time
period
capacities.
This
procedure
was
performed
for
each
combination
of
time
period,
roadway
functional
classification,
and
area
type.
(
Capacity
is
the
same
for
each
direction.)

·
V/
C
ratios:
The
speed
model
was
applied
to
the
resulting
volumes
and
capacities
for
each
functional
classification
and
area
type
combination.
This
yields
volumes
adjusted
for
the
impact
of
congestion­
related
delay
for
each
combination
of
time
period,
functional
classification,
area
type,
and
direction.

Capacities
and
Freeflow
Speeds
for
the
TDM­
based
Analysis
The
San
Antonio
TDM
network
24­
hour
equilibrium
assignments
were
performed
using
nondirectional
24­
hour
capacities.
Time­
of­
day
(
i.
e.,
hourly)
capacity
factors
were
applied
to
nondirectional
capacity
(
or
service
volume)
for
the
24­
hour
assignment
time
period.
In
computing
the
directional
v/
c
ratio
for
estimating
the
directional
speeds,
the
directional
split
for
capacity
is
assumed
at
50­
50.
The
network
was
processed
to
compute
the
average
capacity
per
lane
by
functional
classification
and
area
type.
Appendix
D
summarizes
the
capacity
factors,
which
are
computed
as
follows:

Lane
per
Capacity
hour
­
24
Period)
Time
the
of
th
Lane)(
Leng
per
Capacity
(
Hourly
=
Factor
Capacity
22
Freeflow
speed
factors
are
used
to
convert
TDM
level­
of­
service
(
LOS)
C
speeds
to
LOS
A
(
i.
e.,
freeflow)
speeds.
The
freeflow
speed
factors
for
the
San
Antonio
TDMs
by
area
type
and
functional
classification
are
shown
in
Appendix
D.

With
the
freeflow
speeds
and
hourly,
directional
volumes
and
capacities
on
each
link,
the
congested
speeds
may
be
computed.

Estimation
of
Congested
Speeds
The
congested
speed
model
first
calculates
delay
on
the
link
which
it
then
applies
to
the
link
freeflow
speed
to
compute
the
link
operational
congested
speed
estimate.
The
volume/
delay
equation
is:
Where:

Delay
=
congestion
delay
(
in
minutes/
mile);
A
&
B
=
volume/
delay
equation
coefficients;
M
=
maximum
minutes
of
delay
per
mile;
and
V/
C
=
time­
of­
day
directional
V/
C
ratio.

The
delay
model
parameters
(
A,
B,
and
M)
were
developed
for
the
Dallas/
Fort
Worth
area
and
verified
by
application
in
other
Texas
urban
areas.
There
is
a
set
of
parameters
for
high­
capacity
facilities
and
a
set
for
lowcapacity
facilities
(
see
Table
16).
The
San
Antonio
network
high­
capacity
facility
types
are
Radial
Freeway,
Radial
Parkway,
Circular
Freeway
and
Circular
Parkway.
The
remaining
facility
types
(
except
for
centroid
connector
and
intrazonal,
which
do
not
use
capacity
data)
are
low­
capacity
facilities.
The
HPMS
high­
capacity
facilities
are
Interstate
and
Freeway
classifications.
M]
,
e
[
A
=
Delay
)
C
V
(
B
Min
23
Table
16
Volume/
Delay
Equation
Parameters
Facility
Category
A
B
M*

High
Capacity
Facilities
(>
3,400
vph
one
way,
e.
g.,
Interstates
and
Freeways)
0.015
3.5
5.0
Low
Capacity
Facilities
(<
3,400
vph,
e.
g.,
Arterials,
Collectors
and
Locals)
0.050
3.0
10.0
*
For
HPMS,
M
values
are
3.0
for
high
capacity
and
5.0
for
low
capacity
facilities.

Given
the
estimated
directional
delay
(
in
minutes/
mile)
and
the
estimated
freeflow
speed,
the
directional
congested
speed
is
computed
as
follows:

Delay
+
speed
Freeflow
60
60
=
speed
Congested
This
model
is
applied
to
each
link,
based
on
functional
class
and
area
type,
for
each
time
period
and
each
direction.

TDM
Centroid
Connector
and
Intrazonal
Speeds
For
the
centroid
connector
links
and
intrazonal
links
(
intrazonal
links
are
developed
specifically
for
air
emissions
analyses),
capacity
data
are
not
used.
The
centroid
connector
traffic
assignment
input
speeds
were
used
as
the
centroid
connector
operational
speeds
estimates.
Operational
speeds
for
the
intrazonal
trips
category
were
estimated
by
zone
as
the
average
of
the
zone's
centroid
connector
speeds.

The
hourly
and
24­
hour
VMT
weighted
speed
summaries
by
county
and
road
type
are
included
in
the
set
of
data
files
provided
to
TCEQ
on
CD­
ROM
(
see
Appendix
A
for
electronic
data
descriptions).
Tables
1
through
4
summarize
the
San
Antonio
MSA
county
24­
hour
average
speeds
calculated
as
total
VMT
divided
by
total
VHT.

VMT
MIX
VMT
mix
for
1999,
2007,
and
2012
were
estimated
using
TxDOT
1997
­
1999
vehicle
classification
data
for
1999
and
TxDOT
1997
­
2001
vehicle
classification
data
for
subsequent
years.
As
was
the
case
with
the
seasonal
adjustment
factor
for
the
VMT
estimation
procedure,
the
four­
county
San
Antonio
area
data
were
aggregated.

TxDOT
classification
counts
classify
vehicles
into
the
standard
FHWA
vehicle
classifications
(
based
on
vehicle
length/
number
of
axles)
using
best
practice
vehicle
classification
count
methods.

C
Passenger
vehicles;
P
Two­
axle,
four­
tire
single­
unit
trucks;
B
Buses;
SU2
Six­
tire,
two­
axle
single­
unit
vehicles;
SU3
Three­
axle
single­
unit
vehicles;
SU4
Four
or
more
axle
single­
unit
vehicles;
SE4
Three
or
four
axle
single­
trailer
vehicles;
SE5
Five­
axle
single­
trailer
vehicles;
SE6
Six
or
more
axle
single­
trailer
vehicles;
SD5
Five
or
less
axle
multi­
trailer
vehicles;
24
SD6
Six­
axle
multi­
trailer
vehicles;
and
SD7
Seven
or
more
axle
multi­
trailer
vehicles.

EPA
and
MOBILE
use
a
different
vehicle
classification
scheme
than
the
FHWA
categories.
The
28
EPA
vehicle
categories
are
defined
as
a
function
of
gross
vehicle
weight
rating
(
GVWR)
and
fuel
type
(
see
Table
17).
The
FHWA
axle/
vehicle
length
based
classification
categories
must
be
converted
into
28
MOBILE
GVWR/
fuel
type
based
categories.
25
Table
17
EPA
Vehicle
Types
­
28
Categories
Category
Description
GVWR
LDGV
Light­
duty
gasoline
vehicle
<
6,000
LDGT1
Light­
duty
gasoline
truck
<
6,000
LDGT2
Light­
duty
gasoline
truck
<
6,000
LDGT3
Light­
duty
gasoline
truck
6,001
­
8,500
LDGT4
Light­
duty
gasoline
truck
6,001
­
8,500
HDGV2b
Heavy­
duty
gasoline
vehicle
8,501
­
10,000
HDGV3
Heavy­
duty
gasoline
vehicle
10,001
­
14,000
HDGV4
Heavy­
duty
gasoline
vehicle
14,001
­
16,000
HDGV5
Heavy­
duty
gasoline
vehicle
16,001
­
19,500
HDGV6
Heavy­
duty
gasoline
vehicle
19,501
­
26,000
HDGV7
Heavy­
duty
gasoline
vehicle
26,001
­
33,000
HDGV8a
Heavy­
duty
gasoline
vehicle
33,001
­
60,000
HDGV8b
Heavy­
duty
gasoline
vehicle
>
60,000
HDGB
Heavy­
duty
gasoline
bus
all
LDDV
Light­
duty
diesel
vehicle
<
6,000
LDDT12
Light­
duty
diesel
truck
<
6,000
LDDT34
Light­
duty
diesel
truck
6,001
­
8,500
HDDV2b
Heavy­
duty
diesel
vehicle
8,501
­
10,000
HDDV3
Heavy­
duty
diesel
vehicle
10,001
­
14,000
HDDV4
Heavy­
duty
diesel
vehicle
14,001
­
16,000
HDDV5
Heavy­
duty
diesel
vehicle
16,001
­
19,500
HDDV6
Heavy­
duty
diesel
vehicle
19,501
­
26,000
HDDV7
Heavy­
duty
diesel
vehicle
26,001
­
33,000
HDDV8a
Heavy­
duty
diesel
vehicle
33,001
­
60,000
HDDV8b
Heavy­
duty
diesel
vehicle
>
60,000
HDDBS
Heavy­
duty
diesel
school
bus
all
HDDBT
Heavy­
duty
diesel
transit
bus
all
MC
Motorcycle
all
26
The
FHWA
category
counts
(
based
on
number
of
axles
or
vehicle
length)
are
first
converted
into
categories
(
based
on
GVWR).
Vehicle
classification
counts
are
first
aggregated
into
three
intermediate
groups.

Passenger
Vehicles
(
PV)
C
+
P;
Heavy­
Duty
Vehicles
(
HDV)
SU2
+
SU3
+
SU4
+
SE4;
and
HDDV8b
(
HDX)
SE5
+
SE6
+
SD5
+
SD6
+
SD7.

This
is
followed
by
a
second
intermediate
allocation
that
separates
light­
duty
vehicles
(
LDV)
into
passenger
cars
and
light­
duty
trucks
(
LDT)
based
on
TxDOT
registration
data.

LDV
0.708
×
PV
(
by
county,
2002
Bexar
registration
data
shown);
and
LDT
0.292
×
PV
(
by
county,
2002
Bexar
registration
data
shown).

A
third
intermediate
allocation
further
separates
LDTs
into
LDT1
and
HLDT.
(
Note
that
LDT1
is
itself
intermediate
and
is
further
divided
into
LDGT1
and
LDDT.)

LDT1
0.842
×
LDT
(
by
county,
2002
Bexar
registration
data
shown);
and
HLDT
0.158
×
LDT
(
by
county,
2002
Bexar
registration
data
shown).

Next,
the
remaining
FHWA
categories
are
disaggregated
into
EPA
vehicle
groups,
as
shown.
Note
that
TxDOT
vehicle
classification
count
procedures
do
not
distinguish
between
gasoline
and
diesel
LDTs.
Consequently,
MOBILE
defaults
for
the
year
of
interest
are
used.
As
before,
actual
TxDOT
vehicle
registration
data
are
used
to
separate
gasoline
from
diesel
heavy­
duty
trucks.
Note
also
that
motorcycles
are
not
counted
separately
and
are
included
as
a
default
(
subtracted
from
LDGV).

LDGV
0.9972136
×
LDV
(
MOBILE6
default
for
1999
shown);
LDDV
0.0027864
×
LDV
(
MOBILE6
default
for
1999
shown);
LLDT
0.9936534
×
LDT1
(
MOBILE6
default
for
1999
shown);
LDDT
0.0063466
×
LDT1
(
MOBILE6
default
for
1999
shown);
HDGV
0.333
×
HDV
(
by
county,
2002
Bexar
registration
data
shown);
HDDV
0.667
×
HDV
(
by
county,
2002
Bexar
registration
data
shown);
and
MC
0.001
of
total
(
subtracted
from
LDGV).

This
converts
the
FHWA
axle
count­
based
categories
into
GVWR
categories.
This
part
of
the
conversion
procedure
is
summarized
schematically
in
Table
18.
Starting
with
the
TxDOT
vehicle
classification
data,
these
data
themselves
provide
sufficient
information
to
complete
the
first
step
in
the
conversion
process,
the
allocation
of
vehicles
into
passenger
vehicles
(
PV),
heavy­
duty
vehicles
(
HDV),
five
axle
heavy
duty
vehicles
(
HDDV8b),
and
buses
(
B).
Steps
2
and
3
further
allocate
these
categories
using
TxDOT
registration
data.
Finally,
Step
4
allocates
light­
duty
vehicles
by
fuel
type
using
EPA
MOBILE
diesel
fractions
and
motorcycles
are
separated
from
light­
duty
gas
vehicles
using
a
nominal
constant.

Table
18
Initial
Vehicle
Classification
Conversion
Procedure
Start
Step
1
Step
2
Step
3
Step
4
MC
LDGV
LDGV
LDV
LDDV
Total
Vehicles
PV
LDT
LDT1
LLDT
27
LDDT
HLDT
HDGV
HDV
HDDV
HDDV8b
B
The
MOBILE6
28­
category
typology
is
a
subset
of
this
typology.
A
combination
of
EPA
MOBILE6
defaults
and
Texas
vehicle
registration
data
are
used
to
expand
these
intermediate
categories.

For
the
28­
category
EPA
scheme,
heavy­
duty
vehicles
(
HDV)
are
separated
into
eight
and
seven
categories
respectively.
HDDV8b
vehicle
are
counted
directly.
The
15
HDV
categories
are
separated
from
total
HDV,
which
have
been
separated
by
fuel
type
(
HDGV
and
HDDV)
using
TxDOT
registration
data.
Each
HDV
category
(
HDGV
and
HDDV)
is
then
divided
into
sub­
categories
based
on
detailed
area
wide
TxDOT
county
vehicle
registration
data.
Buses
are
treated
separately.

The
28­
category
EPA
scheme
also
further
divides
the
two
LDT
categories
based
in
part
on
assumed
loading.
The
previous
LDGT1
and
LDGT2
categories
(
previously
defined
as
GVWR
<
6,000
and
GVWR
>
6,000
to
8,500,
respectively)
are
separated
into
subcategories
in
terms
of
adjusted
loaded
vehicle
weight
(
ALVW).
ALVW
is
the
average
of
vehicle
curb
weight
and
GVWR.
Thus,
two
new
intermediate
categories
are
introduced.
These
are
light
light­
duty
trucks
(
LLDT)
and
heavy
light­
duty
trucks
(
HLDT),
which
are
defined
as:

·
LLDT
­
any
light­
duty
truck
rated
through
6,000
pounds
GVWR,
and
·
HLDT
­
any
light­
duty
truck
rated
greater
than
6,000
pounds
GVWR.

These
two
new
intermediate
categories
are
then
used
to
define
the
four
LDT
categories
using
EPA
MOBILE6
defaults
for
the
year
of
interest.
The
four
LDT
categories
are:

·
LDGT1
­
light
light­
duty
trucks
through
3,750
pounds
loaded
vehicle
weight
(
LVW);
·
LDGT2
­
light
light­
duty
trucks
greater
than
3,750
pounds
LVW;
·
LDGT3
­
heavy
light­
duty
trucks
to
5,750
pounds
ALVW;
and
·
LDGT4
­
heavy
light­
duty
trucks
greater
than
5,750
pounds
ALVW.

Similarly,
the
LDDT
category
is
sub­
divided
into
two
categories
based
on
GVWR
(
less
than
or
equal
to
6,000
GVWR
and
6,000
to
8,500
GVWR).
This
is
accomplished
using
EPA
MOBILE6
default
values
for
the
year
of
interest.

Finally
the
three
bus
categories
are
separated
from
the
TxDOT
classification
counts
bus
category
using
EPA
MOBILE6
default
values.
(
Under
MOBILE6
the
HDV
category
does
not
include
buses.)

Vehicle
classification
data
is
not
forecast.
For
future
VMT
mix
estimates,
MOBILE6
default
values
consistent
with
the
future
year
are
used
(
i.
e.,
2007).
For
historical
VMT
mix
estimates,
the
MOBILE6
default
values
consistent
28
with
the
historical
year
are
used
(
i.
e.,
1997
­
1999
for
a
1999
analysis
year).
No
other
adjustments
are
made
to
alter
the
count
data
and
conversion
procedure
to
accommodate
future
years
or
historical
years.
Table
19
shows
the
VMT
mix
estimation
procedure
summary
followed
by
explanatory
notes.
For
this
analysis,
VMT
mix
estimates
were
developed
for
three
functional
classification
groups
(
identified
later
in
the
"
Emissions
Estimation"
section
of
this
report).

This
procedure
is
performed
as
described
for
weekdays.
TxDOT
vehicle
classification
data
are
only
collected
for
weekdays
(
Monday
through
Thursday),
consequently
other
data
is
used
to
estimate
VMT
mix
for
Fridays,
Saturdays,
and
Sundays.
The
procedure
used
to
estimate
Friday,
Saturday,
and
Sunday
VMT
mix
relies
on
vehicle
classification
data
collected
over
several
years
in
urban
areas.
The
ratio
of
weekday
VMT
mix
to
Friday,
Saturday,
and
Sunday
VMT
mix
is
applied
to
the
weekday
VMT
mix
to
produce
region
specific
Friday,
Saturday
and
Sunday
VMT
mix.
(
No
seasonal
changes
are
assumed.)
29
Table
19
VMT
Mix
Estimation
Procedure
Summary
EPA­
8
EPA­
28
Conversion
LDGV
LDGV
.9972
×
LDV
LDGT1
.2310
×
LLDT
LDGT1
LDGT2
.7690
×
LLDT
LDGT3
.6850
×
HDLT
LDGT2
LDGT4
.3150
×
HDLT
HDGV2b
.430
×
HDGV
HDGV3
.203
×
HDGV
HDGV4
.081
×
HDGV
HDGV5
.048
×
HDGV
HDGV6
.153
×
HDGV
HDGV7
.049
×
HDGV
HDGV8a
.029
×
HDGV
HDGV8b
.007
×
HDGV
HDGV
HDGB
.2045
×
B
LDDV
LDDV
.0028
×
LDV
LDDT12
.1623
×
LDDT
LDDT
LDDT34
.8377
×
LDDT
HDDV2b
.273
×
HDDV
HDDV3
.122
×
HDDV
HDDV4
.063
×
HDDV
HDDV5
.046
×
HDDV
HDDV6
.199
×
HDDV
HDDV7
.119
×
HDDV
HDDV8a
.178
×
HDDV
HDDV8b
HDX
HDDBT
.3253
×
B
HDDV
HDDBS
.4702
×
B
MC
MC
MC
30
Notes
to
VMT
Mix
Estimation
Procedure
Summary
Intermediate
category
factors
and
sources:

LDV
.708
×
PV
(
by
county,
2002
Bexar
registration
data
shown)
LDT
.292
×
PV
(
by
county,
2002
Bexar
registration
data
shown)
LDT1
.842
×
LDT
(
by
county,
2002
Bexar
registration
data
shown)
HLDT
.158
×
LDT
(
by
county,
2002
Bexar
registration
data
shown)
LLDT
.9937
×
LDT1
(
EPA
MOBILE6
default)
LDDT
.0063
×
LDT1
(
EPA
MOBILE6
default)
HDV
SU2+
SU3+
SU4+
SE3+
SE4
HDX
SE5+
SE6+
SD5+
SD6+
SD7
HDGV
.333
×
HDV
(
by
county,
2002
Bexar
registration
data
shown)
HDDV
.667
×
HDV
(
by
county,
2002
Bexar
registration
data
shown)

Category
conversion
factors
and
sources:

LDGV
.9972
×
LDV
(
EPA
MOBILE6
default,
1999
shown)
LDGT1
.2310
×
LLDT
(
EPA
MOBILE6
default,
1999
shown)
LDGT2
.7690
×
LLDT
(
EPA
MOBILE6
default,
1999
shown)
LDGT3
.6850
×
HLDT
(
EPA
MOBILE6
default,
1999
shown)
LDGT4
.3150
×
HLDT
(
EPA
MOBILE6
default,
1999
shown)
HDGV2a
.430
×
HDGV
(
San
Antonio
area
registration
data)
HDGV3
.203
×
HDGV
(
San
Antonio
area
registration
data)
HDGV4
.081
×
HDGV
(
San
Antonio
area
registration
data)
HDGV5
.048
×
HDGV
(
San
Antonio
area
registration
data)
HDGV6
.153
×
HDGV
(
San
Antonio
area
registration
data)
HDGV7
.049
×
HDGV
(
San
Antonio
area
registration
data)
HDGV8a
.029
×
HDGV
(
San
Antonio
area
registration
data)
HDGV8b
.007
×
HDGV
(
San
Antonio
area
registration
data)
HDGB
.2243
×
B
(
EPA
MOBILE6
default,
1999
shown)
LDDV
.0028
×
LDV
(
EPA
MOBILE6
default,
1999
shown)
LDDT12
.2723
×
LDDT
(
EPA
MOBILE6
default,
1999
shown)
LDDT34
.7277
×
LDDT
(
EPA
MOBILE6
default,
1999
shown)
HDDV2b
.273
×
HDDV
(
San
Antonio
area
registration
data)
HDDV3
.122
×
HDDV
(
San
Antonio
area
registration
data)
HDDV4
.063
×
HDDV
(
San
Antonio
area
registration
data)
HDDV5
.046
×
HDDV
(
San
Antonio
area
registration
data)
HDDV6
.199
×
HDDV
(
San
Antonio
area
registration
data)
HDDV7
.119
×
HDDV
(
San
Antonio
area
registration
data)
HDDV8a
.178
×
HDDV
(
San
Antonio
area
registration
data)
HDDV8b
HDX
(
TxDOT
classification
counts)
HDDBT
.3240
×
B
(
EPA
MOBILE6
default,
1999
shown)
HDDBS
.4517
×
B
(
EPA
MOBILE6
default,
1999
shown)
MC
MC
(
default
subtracted
from
LDGV,
no
conversion)
ESTIMATING
EMISSIONS
FACTORS
The
MOBILE6
model
(
October
2002)
was
applied
to
calculate
day­
of­
week­
specific
1999,
2007
and
2012
emissions
factors
(
in
grams
per
mile
[
g/
mi])
of
VOC,
CO,
and
NOx.
Emissions
factors
are
estimated
by
speed,
emissions
type
(
i.
e.,
emissions
factor
sub­
component),
hour,
MOBILE6
road
type
(
or
drive
cycle),
and
vehicle
type
for
the
fourcounty
MSA.
The
average
emissions
factors
for
each
of
the
28
vehicle
types
are
developed
by
combining
the
MOBILE6
database
output
by­
model­
year
emissions
factors
weighted
by
their
corresponding
travel
fractions.
The
emissions
factors
are
organized
in
the
form
of
"
look­
up"
tables.
31
The
MOBILE6
model
is
equipped
with
national
(
or
EPA)
default
modeling
values
for
a
wide
range
of
conditions
that
affect
emissions
factors.
In
fact,
the
only
actual
data
parameters
requiring
user­
input
values
to
run
the
model
are
fuel
Reid
Vapor
Pressure
(
RVP),
temperature,
and
calendar
year.
Many
MOBILE6
default
modeling
parameters
may
be
overridden
through
the
use
of
MOBILE6
commands
and
their
associated
inputs
and
options.
For
this
analysis,
particular
MOBILE6
defaults
were
replaced
by
local
input
values
that
were
developed
to
yield
emissions
factors
characteristic
of
the
September
1999
ozone
episode
climatic
conditions,
evaluation­
specific
vehicle
fleets,
activity,
and
emissions
control
programs.

The
following
emissions
factors
documentation
discusses
the
MOBILE6
input/
output
files,
summarizes
the
control
programs
modeled,
details
the
aggregation
level
of
the
applied
MOBILE6
emissions
factors,
and
briefly
describes
all
of
the
MOBILE6
commands
that
may
affect
emissions
factor
calculations.
It
also
identifies
the
commands
that
were
applied,
explains
the
development
of
the
locality­
specific
inputs,
and
describes
the
emissions
factor
post­
processing
procedure.

MOBILE6
Input
and
Output
Files
The
MOBILE6
commands
and
some
model
input
data
are
entered
in
the
MOBILE6
command
file.
Other
input
parameters
(
and
in
some
cases,
commands)
are
applied
to
MOBILE6
from
external
data
files.

The
POLFAC62
program
(
see
program
descriptions
in
Appendix
B)
was
applied
to
run
MOBILE6
with
the
user­
input
command
and
external
data
files
to
produce
VOC,
CO,
and
NOx
emissions
factor
tables.
(
The
RATEADJV6
program
was
applied
to
POLFAC62
output
where
post­
processing
of
emissions
factors
was
required,
discussed
later.)
The
final
product
of
the
emissions
factor
modeling
is
four
hourly
MSA­
level
emissions
factor
files
(
one
per
episode
day)
for
each
of
the
three
evaluation
years.

All
of
the
MOBILE6
input
files
and
output
files
(
MOBILE6
emissions
factor
tables
developed
with
POLFAC62,
and
RATEADJV62)
are
included
in
the
set
of
data
files
provided
on
CD­
ROM.
Appendix
A
describes
the
electronic
data
submittal.
32
Control
Programs
Modeled
(
And
Emissions
Factor
Post
Processing
Summary)
All
federal
motor
vehicle
control
programs,
particular
to
evaluation
year,
were
modeled
(
this
is
the
MOBILE6
default).
Also
modeled
were
the
federal
programs
to
offset
HDDV
defeat
device
effects
 
the
low
emissions
rebuild
program,
and
the
HDDV
2004
standard
pull­
ahead
program
(
this
is
the
MOBILE6
default).
The
Texas
Regional
Low
Reid
Vapor
Pressure
Gasoline
Program
and
Texas
LED
Program
were
modeled
as
well.
Emissions
reduction
estimates
for
the
vehicle
Anti­
tampering
Program
(
ATP),
although
administered
statewide,
are
credited
only
to
those
counties
with
enforced
Inspection
and
Maintenance
(
I/
M)
Programs,
which
excludes
the
San
Antonio
area
counties.

Post­
processing
of
MOBILE6
emissions
factors
was
performed
for
modeling
LED
(
required
for
2007
and
2012)
for
the
MSA.
The
procedures
used
to
overcome
the
limits
of
MOBILE6
as
related
to
the
diesel
fuel
modeling
requirements
for
this
analysis
are
discussed
in
detail
later
in
this
section.

Aggregation
Level
of
MOBILE6
Emissions
Factors
The
by­
model­
year
emissions
factors
from
the
MOBILE6
database
output
format
are
condensed
into
average
fleet
emissions
factors
by
vehicle
class.
This
is
performed
by
weighting
(
multiplying)
each
by­
model­
year
emissions
factor
by
its
corresponding
travel
fraction
and
summing
the
resulting
products.
Each
emissions
factor
table
provides
the
MOBILE6
emissions
factors
by:

·
28
vehicle
types,
·
4
road
types,
·
14
speeds
(
except
for
two
MOBILE6
road
types,
each
with
one
average
speed),
·
15
pollutant­
specific
emissions
types,
and
·
24
hourly
time
periods.

Tables
20
through
22
describe
the
MOBILE6
vehicle
type,
emissions
type
(
pertaining
to
VOC,
CO,
and
NOx
pollutants
only),
and
roadway
type
classifications.
Tables
23
and
24
show
the
speeds
and
sequence
for
hourly
time
periods,
respectively.

Table
20
shows
the
28
MOBILE6
vehicle
types
as
defined
by
fuel­
type
(
gasoline
or
diesel)
and
GVWR
category,
in
sequence
by
EPA
vehicle
type
number.
33
Table
20
Complete
MOBILE6
Vehicle
Classifications
Number
Abbreviation
Description
1
LDGV
Light­
Duty
Gasoline
Vehicles
(
Passenger
Cars)

2
LDGT1
Light­
Duty
Gasoline
Trucks
1
(
0­
6,000
lbs.
GVWR,
0­
3,750
lbs.
LVW)

3
LDGT2
Light­
Duty
Gasoline
Trucks
2
(
0­
6,000
lbs.
GVWR,
3,751­
5,750
lbs.
LVW)

4
LDGT3
Light­
Duty
Gasoline
Trucks
3
(
6,001­
8,500
lbs.
GVWR,
0­
5,750
lbs.
ALVW*)

5
LDGT4
Light­
Duty
Gasoline
Trucks
4
(
6,001­
8,500
lbs.
GVWR,
5,751
lbs.
and
greater
ALVW)
6
HDGV2b
Class
2b
Heavy­
Duty
Gasoline
Vehicles
(
8,501­
10,000
lbs.
GVWR)

7
HDGV3
Class
3
Heavy­
Duty
Gasoline
Vehicles
(
10,001­
14,000
lbs.
GVWR)

8
HDGV4
Class
4
Heavy­
Duty
Gasoline
Vehicles
(
14,001­
16,000
lbs.
GVWR)

9
HDGV5
Class
5
Heavy­
Duty
Gasoline
Vehicles
(
16,001­
19,500
lbs.
GVWR)

10
HDGV6
Class
6
Heavy­
Duty
Gasoline
Vehicles
(
19,501­
26,000
lbs.
GVWR)

11
HDGV7
Class
7
Heavy­
Duty
Gasoline
Vehicles
(
26,001­
33,000
lbs.
GVWR)

12
HDGV8a
Class
8a
Heavy­
Duty
Gasoline
Vehicles
(
33,001­
60,000
lbs.
GVWR)

13
HDGV8b
Class
8b
Heavy­
Duty
Gasoline
Vehicles
(>
60,000
lbs.
GVWR)

14
LDDV
Light­
Duty
Diesel
Vehicles
(
Passenger
Cars)

15
LDDT12
Light­
Duty
Diesel
Trucks
1
and
2
(
0­
6,000
lbs.
GVWR)

16
HDDV2b
Class
2b
Heavy­
Duty
Diesel
Vehicles
(
8,501­
10,000
lbs.
GVWR)

17
HDDV3
Class
3
Heavy­
Duty
Diesel
Vehicles
(
10,001­
14,000
lbs.
GVWR)

18
HDDV4
Class
4
Heavy­
Duty
Diesel
Vehicles
(
14,001­
16,000
lbs.
GVWR)

19
HDDV5
Class
5
Heavy­
Duty
Diesel
Vehicles
(
16,001­
19,500
lbs.
GVWR)

20
HDDV6
Class
6
Heavy­
Duty
Diesel
Vehicles
(
19,501­
26,000
lbs.
GVWR)

21
HDDV7
Class
7
Heavy­
Duty
Diesel
Vehicles
(
26,001­
33,000
lbs.
GVWR)

22
HDDV8a
Class
8a
Heavy­
Duty
Diesel
Vehicles
(
33,001­
60,000
lbs.
GVWR)

23
HDDV8b
Class
8b
Heavy­
Duty
Diesel
Vehicles
(>
60,000
lbs.
GVWR)

24
MC
Motorcycles
(
Gasoline)

25
HDGB
Gasoline
Buses
(
School,
Transit,
and
Urban)

26
HDDBT
Diesel
Transit
and
Urban
Buses
27
HDDBS
Diesel
School
Buses
28
LDDT34
Light­
Duty
Diesel
Trucks
3
and
4
(
6,001­
8,500
lbs.
GVWR)

*
The
adjusted
loaded
vehicle
weight
is
the
numerical
average
of
the
vehicle
curb
weight
and
the
GVWR.
Source:
MOBILE6
User's
Guide
(
EPA,
January
2002).
34
Table
21
shows
the
eight
MOBILE6
emissions
type
classifications
(
excluding
the
non­
pertinent
pollutants).
Expanding
these
emissions
types
by
individual
pollutant
yields
12
pollutant­
specific
emissions
types.
In
addition
to
these
12
pollutant­
specific
emissions
types,
POLFAC62
emissions
factor
tables
contain
the
three
composite
emissions
factors
(
i.
e.,
one
for
each
pollutant).
Thus,
POLFAC62
calculates
MOBILE6
emissions
factors
for
up
to
15
pollutant­
specific
emissions
types.
For
this
analysis,
MOBILE6
emissions
factors
were
calculated
for
all
of
the
15
pollutant­
specific
emissions
types
except
for
refueling
emissions,
which
are
classified
as
an
area
source
emissions
category.

Table
21
MOBILE6
Emission
Type
Classifications
Number
Abbreviatio
n
Description
Pollutants
Vehicle
Classes
1
Running
Exhaust
Running
Emissions
Hydrocarbon
(
HC),
CO,
NOx
All
2
Start
Exhaust
Engine
Start
Emissions
(
trip
start)
HC,
CO,
NOx
LD
plus
MC
3
Hot
Soak
Evaporative
Hot
Soak
Emissions
(
trip
end)
HC
Gas,
including
MC
4
Diurnal
Evaporative
Diurnal
Emissions
(
heat
rise)
HC
Gas,
including
MC
5
Resting
Evaporative
Resting
Loss
Emissions
(
leaks
and
seepage)
HC
Gas,
including
MC
6
Run
Loss
Evaporative
Running
Loss
Emissions
HC
Gas,
less
MC
7
Crankcase
Evaporative
Crankcase
Emissions
(
blow­
by)
HC
Gas,
including
MC
8
Refueling
Evaporative
Refueling
Emissions
(
fuel
displacement
and
spillage)
HC
Gas,
less
MC
Source:
MOBILE6
User's
Guide
(
EPA,
January
2002).

MOBILE6
calculates
emissions
factors
reflective
of
driving
cycles
observed
on
four
roadway
types,
as
well
as
emissions
factors
for
those
emissions
types
that
are
not
directly
applicable
to
the
driving
cycles.
Table
22
provides
descriptions
of
the
driving
cycle
(
or
roadway
type).
The
fifth
roadway
type,
according
to
MOBILE6
is
"
None."
None,
or
roadway
type
number
5,
is
the
index
for
the
emissions
types
that
do
not
apply
to
the
driving
cycles,
and
thus
are
not
sensitive
to,
or
do
not
vary
by,
roadway
type
or
speed.

The
POLFAC62
emissions
factor
table,
however,
categorizes
all
of
the
pollutant­
specific
emissions
types
by
MOBILE6
roadway
types
one
through
four
 
Freeway,
Arterial,
Local,
and
Ramp.
That
is,
in
POLFAC62
tables,
the
MOBILE6
g/
mi
emissions
factors
corresponding
to
the
"
None"
roadway
type
are
tabulated
as
emissions
factors
under
each
of
the
four
actual
roadway
types.
This
allocation
of
the
MOBILE6
"
None"
road
type
emissions
factors
to
the
Freeway,
Arterial,
Local,
and
Ramp
MOBILE6
road
types
is
performed
in
POLFAC62
to
facilitate
the
geographical
allocation
of
the
link­
emissions
estimates
by
the
roadway
link
coordinates.

Table
22
MOBILE6
Roadway
Classifications
35
Number
Abbreviation
Description
1
Freeway
High­
Speed,
Limited­
Access
Roadways
2
Arterial
Arterial
and
Collector
Roadways
3
Local
Urban
Local
Roadways
4
Fwy
Ramp
Freeway
on
and
off
ramps
5
None
Not
Applicable
(
for
start
and
some
evaporative
emissions)

Source:
MOBILE6
User's
Guide
(
EPA,
January
2002).

Table
23
shows
the
14
speeds
used
for
calculating
and
tabulating
the
MOBILE6
Freeway
and
Arterial
emissions
factors.
Later
in
the
emissions
estimation
process,
emissions
factors
for
average
operational
speeds
that
are
not
represented
in
the
14
speeds
as
tabulated,
are
calculated
by
interpolation
(
except
for
those
speeds
higher
than
the
MOBILE6
maximum
speed,
and
those
lower
than
the
MOBILE6
minimum
speed,
in
which
case
the
emissions
factors
corresponding
to
these
bounding
speeds
are
used,
respectively).
The
MOBILE6
Local
and
Ramp
road
type
emissions
factors
are
not
speed
sensitive
and
are
each
characterized
by
one
average
speed.
36
Table
23
Speeds
for
POLFAC62
Tabulated
MOBILE6
Freeway
and
Arterial
Emissions
Factors*

Number
Speed
1
2.5
mph
2
5
mph
3
10
mph
4
15
mph
5
20
mph
6
25
mph
7
30
mph
8
35
mph
9
40
mph
10
45
mph
11
50
mph
12
55
mph
13
60
mph
14
65
mph
*
The
MOBILE6
Local
and
Ramp
drive
cycle
emissions
factor's
fixed
speeds
are
12.9
and
34.6
mph,
respectively.

MOBILE6
uses
several
hourly
input
parameters
(
e.
g.,
hourly
temperatures,
hourly
VMT
fractions,
etc.)
to
model
hourly
emissions
factors.
MOBILE6
requires
that
hourly
input
parameters
be
sequenced
starting
from
the
6
a.
m.
hour.
In
some
cases,
however,
particular
overnight
hours
are
grouped
together
as
a
single
time
period.
Table
24
shows
the
MOBILE6
sequence
for
hourly
inputs.
37
Table
24
General
Sequence
for
Calendar
Day
Hourly*
Inputs
to
MOBILE6
Input
Sequence
Number
Abbreviation
Description
1
6
a.
m.
6
a.
m.
through
6:
59
a.
m.

2
7
a.
m.
7
a.
m.
through
7:
59
a.
m.

3
8
a.
m
8
a.
m.
through
8:
59
a.
m.

4
9
a.
m.
9
a.
m.
through
9:
59
a.
m.

5
10
a.
m.
10
a.
m.
through
10:
59
a.
m.

6
11
a.
m.
11
a.
m.
through
11:
59
a.
m.

7
12
Noon
12
p.
m.
through
12:
59
p.
m.

8
1
p.
m.
1
p.
m.
through
1:
59
p.
m.

9
2
p.
m.
2
p.
m.
through
2:
59
p.
m.

10
3
p.
m.
3
p.
m.
through
3:
59
p.
m.

11
4
p.
m.
4
p.
m.
through
4:
59
p.
m.

12
5
p.
m.
5
p.
m.
through
5:
59
p.
m.

13
6
p.
m.
6
p.
m.
through
6:
59
p.
m.

14
7
p.
m.
7
p.
m.
through
7:
59
p.
m.

15
8
p.
m.
8
p.
m.
through
8:
59
p.
m.

16
9
p.
m.
9
p.
m.
through
9:
59
p.
m.

17
10
p.
m.
10
p.
m.
through
10:
59
p.
m.

18
11
p.
m.
11
p.
m.
through
11:
59
p.
m.

19
12
Midnight
12
a.
m.
through
12:
59
a.
m.

20
1
a.
m.
1
a.
m.
through
1:
59
a.
m.

21
2
a.
m.
2
a.
m.
through
2:
59
a.
m.

22
3
a.
m.
3
a.
m.
through
3:
59
a.
m.

23
4
a.
m.
4
a.
m.
through
4:
59
a.
m.

24
5
a.
m.
5
a.
m.
through
5:
59
a.
m.

*
For
some
MOBILE6
hourly
input
parameters,
overnight
hours
are
grouped.
Hourly
inputs
are
representative
of
the
same
day
or
day
type,
but
are
reordered
for
input
to
MOBILE6
to
start
at
6
a.
m.
38
Application
of
MOBILE6
Commands
and
Associated
Input
Parameters
Tables
25
through
31
lists
and
describes
all
of
the
MOBILE6
commands
that
may
affect
calculating
emissions
factors
(
excluding
commands
such
as
those
that
affect
only
the
output
format
or
content).
Respectively,
these
seven
tables
are:
MOBILE6
Pollutants
and
Emission
Rates,
MOBILE6
External
Conditions,
MOBILE6
Vehicle
Fleet
Characteristics,
MOBILE6
Activity,
MOBILE6
State
Programs,
MOBILE6
Fuels,
and
MOBILE6
Alternative
Emissions
Regulations
and
Control
Measures.
These
tables
identify
the
combinations
of
MOBILE6
commands
and
parameters
used
for
this
analysis.

Parameters
associated
with
each
MOBILE6
command
are
generally
labeled
as
either
EPA
default,
localityspecific
or
NOT
APPLIED.
The
commands
where
the
associated
input
parameters
are
labeled
only
as
"
EPA
default"
are
generally
not
input
for
this
analysis.

The
procedures
used
to
develop
the
locality­
specific
inputs
to
MOBILE6
are
detailed
after
the
following
seven
MOBILE6
input
category
tables.
39
Table
25
MOBILE6
Pollutants
and
Emission
Rates
Command
Function/
Description
Input
Parameter
Source/
Value
POLLUTANTS
Defines
the
basic
set
of
pollutants
to
report.
NOT
APPLIED.
(
The
MOBILE6
default
is
assumed:
HC,
CO,
NOx.)

PARTICULATES
Enables
computation
of
particulate
matter
(
PM)
an
related
emissions
factors.
NOT
APPLIED.

PARTICULATE
EF
Specifies
location
of
files
that
contain
the
particulate
emissions
factors
when
PARTICULATES
command
is
used.
NOT
APPLIED.

PARTICLE
SIZE
Allows
user
to
specify
the
maximum
particulate
size
cutoff
used
by
MOBILE.
NOT
APPLIED.

EXPRESS
HC
AS
VOC
One
of
five
possible
commands
which
allow
the
user
to
specify
the
particular
HC
species
(
NMHC,
NMOG,
THC,
TOG,
VOC)
to
report
in
the
exhaust
emissions
output.
"
VOC"
command
is
applied.
Only
the
command
is
required.

NO
REFUELING
Directs
MOBILE6
not
to
calculate
refueling
emissions
factors.
This
command
is
applied.
Only
the
command
is
required.

AIR
TOXICS
Enables
the
computation
of
air
toxic
emissions
factors
(
six
explicit
pollutants)
and
specifies
which
to
calculate.
NOT
APPLIED.

ADDITIONAL
HAPS
Allows
entry
of
emissions
factors
or
air
toxic
ratios
for
calculation
of
additional
user­
defined
air
toxic
pollutant
emissions
factors.
NOT
APPLIED.

MPG
ESTIMATES
Allows
entry
of
alternate
fuel
economy
performance
data
by
vehicle
class
and
model
year.
NOT
APPLIED.
(
MOBILE6
default
values
are
assumed.)
40
Table
26
MOBILE6
External
Conditions
Command
Function/
Description
Input
Parameter
Source/
Value
CALENDAR
YEAR
Identifies
calendar
year
for
which
emissions
factors
are
to
be
calculated.
(
Required
to
run
model).
1999,
2007,
2012.

EVALUATION
MONTH
Provides
option
of
calculating
January
1
or
July
1
emissions
factors
for
calendar
year
of
evaluation.
7
(
for
July)

MIN/
MAX
TEMPERATURE
Sets
minimum
and
maximum
daily
temperatures.
(
Required
to
run
model
if
the
HOURLY
TEMPERATURES
command
is
not
used.)
NOT
APPLIED.
(
See
HOURLY
TEMPERATURES.)

HOURLY
TEMPERATURES
Allows
temperatures
input
for
each
hour
of
day.
(
Required
to
run
model
if
MIN/
MAX
TEMPERATURE
command
is
not
used.)
County­
group­
specific
by
episode
day,
developed
by
TCEQ.
The
hourly
input
sequence
is
6
a.
m.
to
12
a.
m.
followed
by
12
a.
m.
to
6
a.
m.
for
the
same
day.
See
Appendix
F.

ALTITUDE
Specifies
high­
or
low­
altitude
for
modeling
area.
NOT
APPLIED.
(
EPA
default,
low
altitude,
is
assumed).

ABSOLUTE
HUMIDITY
Used
to
specify
daily
average
humidity
(
directly
affects
NOx
emissions).
MOBILE6
also
converts
absolute
humidity
to
heat
index
which
affects
HC
and
CO
emissions
for
the
portion
of
the
fleet
that
MOBILE6
determines
is
using
air
conditioning.
NOT
APPLIED.
(
See
RELATIVE
HUMIDITY.)

Environmental
Effects
on
Air
Conditioning:

CLOUD
COVER
PEAK
SUN
SUNRISE/
SUNSET
Commands
used
by
MOBILE6
to
model
the
extent
of
vehicle
air­
conditioning
usage.

Specifies
average
percent
cloud
cover
for
given
day.
Specifies
Mid­
day
hours
with
peak
sun
intensity.

Allows
user
to
specify
time
of
sunrise
and
sunset.
NOT
APPLIED.
(
EPA
default
assumed.)
NOT
APPLIED.
(
EPA
default
assumed.)
Region­
specific,
7
a.
m.
8
p.
m.,
TCEQ.

RELATIVE
HUMIDITY
Specifies
use
of
24
hourly
relative
humidity
values
entered
by
user.
MOBILE6
will
perform
hourspecific
calculations
with
hourly
values
rather
than
use
single
daily
default
absolute
humidity
value.
County­
group­
specific
by
episode
day,
developed
by
TCEQ.
The
hourly
input
sequence
is
6
a.
m.
to
12
a.
m.
followed
by
12
a.
m.
to
6
a.
m.
for
the
same
day.
See
Appendix
F.

BAROMETRIC
PRES
Specifies
use
of
user
input
daily
average
barometric
pressure
for
use
with
hourly
relative
humidity
to
calculate
hourly
absolute
humidity
values.
Used
MOBILE6
default,
29.92
inches
Mercury.
41
Table
27
MOBILE6
Vehicle
Fleet
Characteristics
Command
Function/
Description
Input
Parameter
Source/
Value
REG
DIST
Allows
the
user
to
supply
registration
distributions
by
age
for
any
of
the
16
composite
(
combined
gasoline
and
diesel)
vehicle
types.
Locality­
Specific/
EPA
default.
Developed
by
TTI.

Mid­
year
2002
TxDOT
county­
group
registrations
data
are
applied
except
for
buses
for
which
the
MOBILE6
default
is
used.
The
age
distributions
are
assumed
to
be
the
same
for
all
evaluation
years.
See
Appendix
G.

DIESEL
FRACTIONS
Permits
user
to
supply
locality­
specific
diesel
fractions
for
14
of
the
16
composite
vehicle
categories
by
age.
Locality­
Specific/
EPA
default.
Developed
by
TTI.
Beginning
in
2002,
TxDOT
midyear
registrations
specify
gasoline
and
diesel
fueled
vehicles
for
the
eight
HDV
classes.
Mid­
year
2002
TxDOT
statewide
registrations
are
used
to
develop
the
HDV
diesel
fractions
(
EPA
defaults
are
applied
for
the
remaining
classes).

For
future
year
evaluations,
the
latest
diesel
fractions
(
2002)
are
used
for
each
calendar
year
up
to
the
future
year
of
evaluation
(
e.
g.,
2003,
2004,
2005,
2006,
2007).

For
1999,
diesel
fractions
are
produced
by
dropping
the
2000
and
newer
model
year
fractions
from
the
2002
diesel
fractions
data
set,
then
applying
the
earliest
model
year
fractions
to
each
prior
year
back
to
the
25
years
old
and
older
category.

MILE
ACCUM
RATE
Allows
the
user
to
supply
the
annual
mileage
accumulation
rates
by
vehicle
type
and
age.
NOT
APPLIED.
(
EPA
defaults
are
assumed
 
see
technical
report
M6FLT.
007.)

NGV
FRACTION
Lets
user
specify
percent
of
natural
gas
vehicles
(
NGV)
in
the
fleet
by
type
and
age
certified
to
operate
on
either
compressed
or
liquefied
natural
gas.
NOT
APPLIED.
(
The
EPA
default
percentage
of
NGV
vehicles
in
the
fleet,
zero,
is
assumed.)

NGV
EF
Permits
the
user
to
enter
alternate
NGV
emissions
factors
for
each
of
the
28
vehicle
types,
for
running
and
start
emissions.
NOT
APPLIED.
(
The
EPA
default,
none,
is
assumed.)
42
Table
28
MOBILE6
Activity
Command
Function/
Description
Input
Parameter
Source/
Value
VMT
FRACTIONS
Used
in
MOBILE6
to
weight
the
emissions
of
various
vehicle
types
into
average
rates
for
groupings
of
vehicle
classes.
NOT
APPLIED.
(
EPA
default
assumed,
used
for
aggregate
results
with
no
impact
on
this
analysis.
VMT
mix
is
applied
to
link
VMT
outside
MOBILE6
later
in
the
process
to
calculate
emissions
by
the
28
vehicle
types.)

VMT
BY
FACILITY
VMT
fractions
by
MOBILE6
road
type
combine
the
four
road
type
emissions
factors
into
the
"
all
road
types"
emissions
factors.
NOT
APPLIED.
(
EPA
default
assumed,
used
for
aggregate
results
with
no
impact
on
this
analysis.)

VMT
BY
HOUR
Allows
VMT
fractions
allocation
by
hour­
ofday
applied
in
conversion
of
grams
per
hour
(
g/
hr)
to
g/
mi,
as
well
as
in
weighting
of
hourly
g/
mi
rates
to
obtain
daily
emissions
factors.
Region­
specific.
The
hourly
travel
fractions
(
same
as
those
used
to
distribute
24­
hour
link­
VMT
by
hour
of
day)
are
based
on
1999
through
2001,
September,
SA/
MSA
ATR
counts.
One
set
each
is
applied
for
Weekday,
Friday,
Saturday,
and
Sunday.
The
same
fractions
are
used
for
all
years.
See
Table
7.

SPEED
VMT
Allows
user
to
allocate
VMT
by
average
speed
(
14
pre­
selected:
2.5
and
5
through
65
at
5
mph
increments)
for
arterials
and
freeways
for
each
hour
of
the
day.
Generic
input.
Same
for
all
counties.
Inputs
are
set
up
to
calculate
emissions
factors
by
14
MOBILE6
speed
bin
speed
scenarios
for
MOBILE6
freeway
and
arterial
road
types.

AVERAGE
SPEED
Allows
a
single
average
speed
for
combined
freeways
and
arterials
for
the
entire
day.
NOT
APPLIED.

STARTS
PER
DAY
Lets
user
specify
the
average
number
of
engine
starts
per
vehicle
per
day
by
vehicle
types
for
weekend
days
and
weekdays.
NOT
APPLIED.
(
Used
EPA
weekday
and
weekend
day­
specific
defaults
 
see
technical
report
M6FLT.
003.)

START
DIST
Allows
user
to
allocate
engine
starts
by
hour
of
the
day
for
weekend
days
and
weekdays.
NOT
APPLIED.
(
Used
EPA
weekday
and
weekend
day­
specific
defaults
 
see
technical
report
M6FLT.
003.)

SOAK
DISTRIBUTION
Allows
use
of
alternate
vehicle
soak
duration
distributions
for
weekend
days
and
weekdays.
NOT
APPLIED.
(
Used
EPA
weekday
and
weekend
day­
specific
defaults
 
see
technical
reports
M6FLT.
003
and
004.)

HOT
SOAK
ACTIVITY
Allows
users
to
specify
a
hot
soak
duration
distribution
for
each
of
14
daily
time
periods
for
weekend
days
and
for
weekdays.
NOT
APPLIED.
(
Used
EPA
weekday
and
weekend
day­
specific
defaults
 
see
technical
reports
M6FLT.
003
and
004.)

DIURN
SOAK
ACTIVITY
Allows
user
set
diurnal
soak
time
distributions
for
each
of
18
daily
time
periods.
NOT
APPLIED.
(
The
EPA
defaults
are
assumed.
 
see
technical
report
M6FLT.
006.)

WE
DA
TRI
LEN
DI
Specifies
alternate
fractions
of
VMT
that
occur
during
trips
of
various
durations
at
each
hour
of
the
average
weekday.
NOT
APPLIED.
(
The
EPA
defaults
are
assumed.
 
see
technical
report
M6FLT.
005.)

WE
EN
TRI
LEN
DI
Specifies
hourly
alternate
fractions
of
VMT
for
trips
of
various
lengths
for
weekend
days.
NOT
APPLIED.

WE
VEH
US
Directs
MOBILE6
to
use
weekend
activity
data
for
calculating
emissions
factors.
Applied
command
for
weekend
day
analyses
(
i.
e.,
September
18,
19).

Table
29
43
MOBILE6
State
Programs
Command
Function/
Description
Input
Parameter
Source/
Value
STAGE
II
REFUELING
Allows
modeling
of
at­
the­
pump
refueling
emissions.
NOT
APPLIED.
Accounted
for
as
an
area
source
category.

ANTI­
TAMP
PROG
Allows
user
to
model
impacts
of
an
ATP.
NOT
APPLIED.
(
Although
Texas
administers
a
statewide
ATP,
ATP
credit
is
only
taken
in
those
counties
which
also
administer
an
enforced
I/
M
program.)

I/
M
Commands:
I/
M
PROGRAM
I/
M
MODEL
YEARS
I/
M
VEHICLES
I/
M
STRINGENCY
I/
M
COMPLIANCE
I/
M
WAIVER
RATES
I/
M
CUTPOINTS
I/
M
EXEMPTION
AGE
I/
M
GRACE
PERIOD
NO
I/
M
TTC
CREDITS
I/
M
EFFECTIVENESS
I/
M
DESC
FILE
Required
for
exhaust/
evaporative
I/
M
programs.
Required
for
exhaust/
evaporative
I/
M
programs.
Required
for
exhaust/
evaporative
I/
M
programs.
Required
for
exhaust.
Do
not
use
for
evaporative.
Required
for
exhaust.
Optional
for
evaporative.
Required
for
exhaust.
Optional
for
evaporative.
Optional
for
exhaust
(
but
required
for
IM240).
Do
not
use
with
evaporative.
Optional
for
both
exhaust
and
evaporative.
Optional
for
both
exhaust
and
evaporative.
Optional
for
exhaust.
Do
not
use
with
evaporative.
Optional
for
exhaust.
Do
not
use
with
evaporative.
Optional
for
both.
NOT
APPLIED.
44
Table
30
MOBILE6
Fuels
Command
Function/
Description
Input
Parameter
Source/
Value
FUEL
PROGRAM
Allows
specification
of
one
of
four
options:
1)
Conventional
Gasoline
East
Tier2
sulfur
phase­
in
schedule
(
includes
Texas),
2)
Reformulated
Gasoline
(
RFG),
3)
Conventional
Gasoline
West
Tier2
sulfur
geographical
phase­
in
area
schedule,
or
4)
Sulfur
content
for
gasoline
after
1999.
Option
1:
Applied
for
all
counties
and
evaluation
years.

SULFUR
CONTENT
(
or
GASOLINE
SULFUR)
Allows
use
of
alternate
sulfur
content
for
conventional
gasoline
through
calendar
year
1999.
Actual
estimated
value
for
1999:
447
ppm,
based
on
AAMA
summer
1999
San
Antonio
sample
survey
data
(
ERG,
October
2002).

DIESEL
SULFUR
Allows
use
of
ave.
diesel
fuel
sulfur
level
for
all
calendar
years.
Required
if
PARTICULATES
command
is
used.
No
affect
on
HC,
CO,
NOx,
air
toxics
(
except
if
calculated
as
ratio
to
PM).
NOT
APPLIED.

OXYGENATED
FUELS
Allows
modeling
of
oxygenated
gasoline
effects
on
exhaust
for
all
gasoline­
fueled
vehicle
types.
Not
for
use
with
AIR
TOXICS
command.
NOT
APPLIED.

FUEL
RVP
Allows
user
to
specify
fuel
RVP
for
area
being
modeled
(
required
to
run
model).
Actual
estimated
value
for
1999,
based
on
AAMA
summer
1999
San
Antonio
sample
survey
data
(
ERG,
October
2002).
Regulated
limit
(
7.8
psi)
less
0.2
compliance
safety
margin
is
applied
for
2002
+
analysis
years
1999:
7.6
psi
(
survey
based)
2002
+:
7.6
psi
(
regulated
limit
with
0.2
safety
margin)

SEASON
Identifies
effective
season
for
RFG
calculation
regardless
of
month
modeled.
NOT
APPLIED.

GAS
AROMATIC%
Only
when
AIR
TOXICS
command
is
used.
NOT
APPLIED.

GAS
OLEFIN%
Only
when
AIR
TOXICS
command
is
used.
NOT
APPLIED.

GAS
BENZENE%
Only
when
AIR
TOXICS
command
is
used.
NOT
APPLIED.

E200
Only
when
AIR
TOXICS
command
is
used.
NOT
APPLIED.

E300
Only
when
AIR
TOXICS
command
is
used.
NOT
APPLIED.

OXYGENATE
Only
when
AIR
TOXICS
command
is
used.
NOT
APPLIED.

RVP
OXY
WAIVER
Only
when
AIR
TOXICS
command
is
used.
NOT
APPLIED.

Table
31
45
MOBILE6
Alternative
Emissions
Regulations
and
Control
Measures
Command
Function/
Description
Input
Parameter
Source/
Value
NO
CLEAN
AIR
ACT
Models
vehicle
emissions
as
if
the
Federal
Clean
Air
Act
Amendments
of
1990
had
not
been
implemented.
Applied
for
Pre­
90
control
analyses
for
all
years
except
1990.

HDDV
NOx
Off­
Cycle
Emissions
Effects:
NO
DEFEAT
DEVICE
NO
NOX
PULL
AHEAD
NO
REBUILD
REBUILD
EFFECTS
Turns
off
the
effects
of
the
HDD
vehicle
NOx
offcycle
emissions
effects
(
defeat
device
emissions).
Turns
off
HDD
NOx
emissions
reduction
effects
of
Pull­
Ahead
program.
Turns
off
HDD
NOx
emissions
reduction
effects
of
Rebuild
program.
Allows
user
change
Rebuild
program
effectiveness
rate.
NOT
APPLIED.

NOT
APPLIED.

NOT
APPLIED.

1999:
0.01
(
TCEQ
2001
estimate
is
assumed),
2007,
2012:
0.90
(
EPA
default
is
assumed).

Tier
2
Emission
Standards
and
Fuel
Requirements:

NO
TIER2
T2
EXH
PHASE­
IN
T2
EVAP
PHASE­
IN
T2
CERT
Allow
the
overriding
of
the
default
Tier
2
emissions
standards
and
fuel
requirements
settings.

Disables
Tier
2
requirements.
Allows
alternate
Tier
2
exhaust
standard
phase­
in
schedules.
Allows
alternate
Tier
2
evaporative
standard
phasein
schedules.
Allows
user
to
specify
alternate
Tier
2
50,000­
mile
certification
standards.
NOT
APPLIED.

94+
LDG
IMPLEMENTATON
Allows
use
of
alternate
1994
and
later
fleet
penetration
fractions
for
LDGVs
under
the
Tier
1,
NLEV
(
or
California
LEV
1),
and
Tier
2
emissions
standard
programs.
NOT
APPLIED.

NO
2007
HDDV
RULE
Disables
2007
HDV
emissions
standards.
NOT
APPLIED.

External
Conditions
MOBILE6
local
inputs
for
hourly
temperatures,
daily
average
humidity,
and
sunrise
and
sunset
times
were
developed
from
September
1999
ozone
episode
data
and
applied
based
on
"
local
time."
TCEQ
developed
the
values
and
TTI
formatted
them
for
input
to
MOBILE6.

Temperatures
(
HOURLY
TEMPERATURES
Command)
TCEQ
developed
one
set
of
ambient
hourly
temperatures
(
degrees
Fahrenheit)
for
input
to
46
MOBILE6
for
the
four­
county
MSA
based
on
weather
data
averaged
from
five
Bexar
County
monitoring
stations.
The
data
sources
are
the
EPA
Aerometric
Information
Retrieval
System
(
http://
www.
epa.
gov/
airs),
and
the
National
Weather
Service
(
http://
www.
nws.
noaa.
gov).
Hourly
temperatures
from
the
stations
for
the
modeling
period
were
averaged
within
each
hour.

The
ozone
episode
modeling
period
for
the
SA/
MSA
is
September
13,
1999
through
September
20,
1999.
Since
the
emissions
estimation
method
calls
for
emissions
estimates
for
four
day
types
as
opposed
to
for
individual
episode
days,
temperature
data
were
selected
from
the
modeling
period
to
correspond
with
the
day­
type
being
modeled.
The
average
weekday
episode
day
was
chosen
as
September
20
(
a
Monday).
The
Friday,
Saturday,
and
Sunday
episode
days
were
chosen
as
September
17,
September
18
and
September
19,
respectively.

The
temperatures
were
sequenced
as
required
for
input
to
MOBILE6
starting
with
the
6
a.
m.
hour.
The
temperatures
are
a
MOBILE6
command
file
input.
The
same
hourly
temperatures
were
used
for
all
analysis
years.
A
summary
of
the
temperature
inputs
are
in
Appendix
F.

Relative
Humidity
(
RELATIVE
HUMIDITY
Command)
The
RELATIVE
HUMIDITY
command
was
applied
to
specify
local
hourly
percent
relative
humidity
values
for
the
MSA.

The
hourly
relative
humidity
inputs
were
developed
following
the
same
procedure
as
described
above
for
the
hourly
temperature
input
development,
except
that
humidity
data
were
used
from
only
one
Bexar
County
weather
station
(
San
Antonio
International
Airport).
The
humidity
parameter
is
input
in
the
MOBILE6
command
file.
The
humidity
values
used
(
one
set
for
each
episode
day
for
the
MSA
for
all
evaluation
years)
are
summarized
in
Appendix
F.

Sunrise
and
Sunset
Times
(
SUNRISE/
SUNSET
Command)
The
SUNRISE/
SUNSET
command
allows
the
user
to
specify
the
time
of
sunrise
and
sunset.
This
feature
affects
only
the
air­
conditioning
correction.
TCEQ
provided
the
sunrise
and
sunset
times,
which
are
the
same
for
the
MSA
for
all
evaluations.
The
times
were
developed
using
data
from
the
city
of
San
Antonio.
The
data
source
is
the
U.
S.
Naval
Observatory
Astronomical
Applications
Department
Internet
site
(
http://
aa.
usno.
navy.
mil/).
The
times
are
7
a.
m.
and
8
p.
m.
local
time.

Vehicle
Fleet
Characteristics
Vehicle
registration
(
age)
distributions
and
diesel
fractions
inputs
to
MOBILE6
were
developed
from
TxDOT
midyear
2002
county
vehicle
registration
data
for
those
vehicle
types
where
TxDOT
registrations
data
were
available.
EPA
defaults
were
used
where
necessary.
Due
to
sparse
registration
data
for
some
vehicle
classes
resulting
from
the
increased
disaggregation
level
of
the
vehicle
classifications
in
MOBILE6
(
28
vehicle
types
versus
the
previous
eight
vehicle
class
scheme),
the
registrations
data
are
grouped
for
the
four­
county
MSA
for
developing
the
age
distributions
input,
and
grouped
for
the
state
for
developing
the
diesel
fractions
inputs.

The
application
of
local
registration
distributions
and
diesel
fractions
for
these
EI
forecasts
follows
guidance
in
Technical
Guidance
on
the
Use
of
MOBILE6
for
Emission
Inventory
Preparation
(
EPA,
January
2002).
Namely,
this
analysis
uses
the
latest
available
registration
data
for
estimating
vehicle
class
age
distributions,
and
uses
the
most
recent
diesel
fractions
available
as
the
projected
fractions
for
future
years.

Vehicle
Registration
Distributions
(
REG
DIST
Command)
Table
32
shows
the
user­
supplied
vehicle
registration
distributions
input
to
MOBILE6
by
vehicle
age
for
any
of
the
16
composite
(
combined
gas
and
diesel)
vehicle
types.
EPA
default
distributions
are
internally
applied
by
MOBILE6
for
vehicle
classes
where
the
user
does
not
provide
alternate
values.
The
input
values
for
each
vehicle
class
are
25
age
fractions
representing
the
fraction
of
vehicles
by
age
for
that
particular
vehicle
class
as
of
July
of
the
evaluation
year.
These
age
fractions
start
with
the
evaluation
year
as
the
1st
age
fraction
and
work
back
in
annual
increments
to
end
with
the
25th
fraction,
which
represents
the
fraction
of
vehicles
of
age
25
years
and
older.
The
fractions
are
calculated
as
the
model
year­
specific
registrations
in
a
class
divided
by
the
total
vehicles
registered
in
that
class.
47
Table
32
Composite
Vehicle
Classes
for
Vehicle
Registration
Data
(
REG
DIST
Command)

Number
Abbreviation
Description
1
LDV
Light­
Duty
Vehicles
(
Passenger
Cars)

2
LDT1
Light­
Duty
Trucks
1
(
0­
6,000
lbs.
GVWR,
0­
3,750
lbs.
LVW)

3
LDT2
Light­
Duty
Trucks
2
(
0­
6,000
lbs.
GVWR,
3,751­
5,750
lbs.
LVW)

4
LDT3
Light­
Duty
Trucks
3
(
6,001­
8,500
lbs.
GVWR,
0­
5,750
lbs.
ALVW)

5
LDT4
Light­
Duty
Trucks
4
(
6,001­
8,500
lbs.
GVWR,
5,751
lbs.
and
greater
ALVW)

6
HDV2B
Class
2b
Heavy­
Duty
Vehicles
(
8,501­
10,000
lbs.
GVWR)

7
HDV3
Class
3
Heavy­
Duty
Vehicles
(
10,001­
14,000
lbs.
GVWR)

8
HDV4
Class
4
Heavy­
Duty
Vehicles
(
14,001­
16,000
lbs.
GVWR)

9
HDV5
Class
5
Heavy­
Duty
Vehicles
(
16,001­
19,500
lbs.
GVWR)

10
HDV6
Class
6
Heavy­
Duty
Vehicles
(
19,501­
26,000
lbs.
GVWR)

11
HDV7
Class
7
Heavy­
Duty
Vehicles
(
26,001­
33,000
lbs.
GVWR)

12
HDV8A
Class
8a
Heavy­
Duty
Vehicles
(
33,001­
60,000
lbs.
GVWR)

13
HDV8B
Class
8b
Heavy­
Duty
Vehicles
(>
60,000
lbs.
GVWR)

14
HDBS
School
Buses
15
HDBT
Transit
and
Urban
Buses
16
MC
Motorcycles
(
All)

Source:
MOBILE6
User's
Guide
(
EPA,
January
2002).

TTI
developed
MOBILE6
age
distributions
fractions
input
from
TxDOT
data
for
all
vehicle
types
except
for
the
two
bus
categories.
EPA
defaults
were
used
for
the
two
bus
categories.
To
develop
these
distributions,
TTI
used
two
county­
level
data
sets
provided
by
TxDOT.
The
TxDOT
registrations
data
provided
are
summarized
as:

·
July
2002
registrations
for:
LDV,
LDT12,
LDT34,
MC,
HDGT,
HDDT;
and
·
July
2002
registrations
for:
Gas:
HDV2B,
HDV3,
HDV4,
HDV5,
HDV6,
HDV7,
HDV8A,
HDV8B;
and
Diesel:
HDV2B,
HDV3,
HDV4,
HDV5,
HDV6,
HDV7,
HDV8A,
HDV8B.

The
July
2002
registrations
are
for:
automobiles,
light­
duty
trucks
(
LDT12,
corresponding
to
MOBILE6
classes
LDT1
and
LDT2
),
heavier
light­
duty
trucks
(
LDT34,
corresponding
to
MOBILE6
classes
LDT3
and
LDT4),
motorcycles,
heavy­
duty
gas
trucks
(
>
8,500
lbs.
GVWR),
and
heavy­
duty
diesel
trucks
(
>
8,500
lbs.
GVWR).
The
July
2002
gasoline
and
diesel
HDV
classes
(
eight
each)
comprise
the
July
2002
HDGT
and
HDDT
classes
represented
in
the
July
2002
data
set,
respectively,
and
correspond
to
the
eight
HDV
weight
classes
for
numbers
six
through
13
in
Table
32.

First
the
county
registrations
data
for
the
four
MSA
counties
were
combined.
There
are
three
main
steps
to
developing
the
MOBILE6
registration
distributions
input
for
the
14
non­
bus
vehicle
classes.
The
first
step
in
the
process
develops
the
July
2002
registrations
by
the
25
age
groups
for
12
of
the
16
composite
(
by
fuel)
vehicle
48
classes
(
eight
HDV,
LDV,
LDT12,
LDT34,
MC).
The
second
step
converts
the
registrations
from
numbers
of
vehicles
registered,
to
fractions
registered
by
age
for
each
of
these
12
classes.
The
registrations
are
then
expanded
from
12
to
14
vehicle
classes.

The
16
HDV
class
registrations
were
combined
into
the
MOBILE6
eight
composite
(
gas
and
diesel)
classes
by
summing
the
individual
fuel
type
registrations
by
age
within
each
weight
category.
The
1978
and
older
registrations
were
summed
to
yield
the
"
age
25
and
older"
registrations
for
each
of
the
12
composite
vehicle
classes
(
i.
e.,
the
eight
HDV
classes
plus
LDV,
LDT12,
LDT34,
and
MC).

The
conversion
of
the
registrations
from
numbers
of
vehicles
to
fractions
of
vehicles
by
age
was
made
for
each
vehicle
class
by
dividing
the
registrations
for
each
age
by
the
total
registrations.
MOBILE6
requires
that
the
age
distribution
fractions
for
each
vehicle
class
sum
to
one.
In
this
step
the
age
distribution
fractions
for
each
class
were
summed.
For
sums
not
equal
to
one
(
due
to
rounding
error),
the
largest
registration
fraction
was
adjusted
to
make
the
fractions
sum
to
one.

The
resulting
July
2002
estimated
SA/
MSA
registration
distribution
fractions
for
the
12
composite
classes
were
then
expanded
to
14
classes.
This
was
accomplished
by
using
the
LDT12
age
fractions,
for
both
the
MOBILE6
LDT1
and
LDT2
classes
and
the
LDT34
age
fractions
for
both
the
MOBILE6
LDT3
and
LDT4
classes.
The
MOBILE6
vehicle
registration
distributions
are
input
from
external
data
files.
The
external
data
files
are
on
CDROM
Appendix
A
lists
the
data
files.
Appendix
G
shows
the
registration
distributions
input.

Diesel
Fractions
(
DIESEL
FRACTIONS
Command)
The
DIESEL
FRACTIONS
command
allows
the
user
to
specify
diesel
fractions
for
14
of
the
16
composite
(
gasoline
and
diesel)
vehicle
categories
by
vehicle
age.
MOBILE6
assumes
that
urban/
transit
buses
are
100
percent
diesel,
and
that
motorcycles
are
all
gasoline
fueled,
so
these
two
categories
do
not
require
diesel
fractions.
The
diesel
fraction
represents
the
portion
of
diesels
in
a
composite
(
gasoline
and
diesel)
vehicle
class
for
any
vehicle
age.
When
the
user
enters
diesel
fractions,
all
14
sets
of
fractions
are
required.
Each
set
of
fractions
contains
the
diesel
fractions
for
25
vehicle
ages
from
the
evaluation
year
back
through
the
25th
fraction,
which
represents
vehicle
ages
of
25
years
and
older.

The
MOBILE6
default
fractions
vary
by
age
for
model
years
1972
through
1996.
For
1971
and
earlier
model
years,
the
default
diesel
fractions
are
assumed
the
same
as
the
1972
model
year
fractions.
For
the
1997
and
later
model
years,
the
default
diesel
fractions
are
assumed
the
same
as
the
1996
model
year
fractions.

TTI
developed
evaluation­
year
specific,
state­
level
diesel
fractions
inputs
for
the
analysis.
One
individual
statelevel
set
of
diesel
fractions
was
developed
for
each
evaluation
year.
TTI
used
a
combination
of
estimated
TxDOT
diesel
fractions
and
EPA
default
diesel
fractions
for
modeling
the
emissions
factors.
Table
33
shows
the
MOBILE6
diesel
fractions
input
categories
with
corresponding
data
sources.
The
diesel
fraction
estimates
were
calculated
based
on
TxDOT
individual
diesel
and
gasoline
vehicle
registrations
for
the
eight
HDV
(
HDV2b
through
HDV8b)
weight
classes.
To
produce
the
HDV
diesel
fractions
by
model
year,
the
diesel
registrations
were
divided
by
the
sum
of
the
gasoline
and
diesel
registrations,
by
HDV
composite
vehicle
class,
and
model
year.

The
HDV
diesel
fractions
were
forecast
from
2002
to
2007
(
and
to
2012)
by
applying
the
latest
diesel
fraction
(
2002)
to
each
of
the
future
years
(
e.
g.,
2003
through
2012).
To
estimate
the
1999
base
year
diesel
fractions,
the
diesel
fractions
for
2000,
2001,
and
2002
model
years
were
dropped
from
the
data
set;
the
fractions
for
oldest
model
year
in
the
data
set,
1978,
were
applied
to
each
of
the
older
model
years
to
complete
the
data
set
for
25
model
years.
The
1999,
2007
and
2012
estimated
HDV
diesel
fractions
were
then
combined
with
the
corresponding
evaluation
year
specific
July
EPA
default
diesel
fractions
for
the
remaining
vehicle
classes
to
produce
the
complete
input
data
set
for
each
evaluation
year.
Diesel
fractions
are
entered
in
the
MOBILE6
command
file.
Appendix
G
shows
the
diesel
fractions
input
for
each
evaluation
year.
49
Table
33
Source
of
Diesel
Fractions
for
Composite
Vehicle
Types
(
DIESEL
FRACTIONS
Command)

Number
Abbreviation
Description
Source
of
Fractions
1
LDV
Light­
Duty
Vehicles
EPA
MOBILE6
Evaluation
Year
Default
2
LDT1
Light­
Duty
Trucks
1
EPA
MOBILE6
Evaluation
Year
Default
3
LDT2
Light­
Duty
Trucks
2
EPA
MOBILE6
Evaluation
Year
Default
4
LDT3
Light­
Duty
Trucks
3
EPA
MOBILE6
Evaluation
Year
Default
5
LDT4
Light­
Duty
Trucks
4
EPA
MOBILE6
Evaluation
Year
Default
6
HDV2B
Class
2b
Heavy­
Duty
Vehicles
TxDOT
July,
2002
Statewide
Registrations
7
HDV3
Class
3
Heavy­
Duty
Vehicles
TxDOT
July,
2002
Statewide
Registrations
8
HDV4
Class
4
Heavy­
Duty
Vehicles
TxDOT
July,
2002
Statewide
Registrations
9
HDV5
Class
5
Heavy­
Duty
Vehicles
TxDOT
July,
2002
Statewide
Registrations
10
HDV6
Class
6
Heavy­
Duty
Vehicles
TxDOT
July,
2002
Statewide
Registrations
11
HDV7
Class
7
Heavy­
Duty
Vehicles
TxDOT
July,
2002
Statewide
Registrations
12
HDV8A
Class
8a
Heavy­
Duty
Vehicles
TxDOT
July,
2002
Statewide
Registrations
13
HDV8B
Class
8b
Heavy­
Duty
Vehicles
TxDOT
July,
2002
Statewide
Registrations
14
HDBS
School
Buses
EPA
MOBILE6
Evaluation
Year
Default
Activity
The
locality­
specific
activity
parameters
used
to
develop
the
hourly
emissions
factors
are
fleet
hourly
VMT
fractions
(
through
the
VMT
BY
HOUR
command).

Additional
non­
default
activity
inputs
to
the
model
were
hourly
fractions
of
VMT
by
the
14
speeds
for
Arterials
and
Freeways
(
SPEED
VMT
command).
Weekend
day
hourly
vehicle
usage
rates
(
MOBILE6
defaults)
for
particular
activity
input
parameters
(
through
the
WE
VEH
US
command)
were
applied
for
the
Saturday
and
Sunday
episode
days.

VMT
Fractions
(
Also
Known
as
VMT
mix)
These
sets
of
fractions
(
VMT
fractions
attributable
to
individual
vehicle
classes)
are
an
input
to
MOBILE6,
however,
the
method
for
this
study
calls
for
the
application
of
the
VMT
mix
(
or
mixes)
later
in
the
emissions
calculation
process.
VMT
mix
development
was
discussed
previously
in
this
documentation.

Total
VMT
by
Hour
(
VMT
BY
HOUR
Command)
Hourly
fleet
total
VMT
distributions
are
input
to
MOBILE6
by
using
the
VMT
BY
HOUR
command.
These
fractions
are
used
by
MOBILE6
to
convert
the
units
of
the
non
travel­
related
hourly
emissions
factors
(
e.
g.,
hot
soak,
diurnal,
start,
etc.)
to
units
of
g/
mi.
(
The
VMT
by
hour
fractions
are
also
used
to
produce
the
daily
emissions
factors
as
composites
of
the
hourly
emissions
factors.)

Development
of
the
hourly
travel
fractions
for
the
TxDOT
SA/
MSA
were
previously
discussed
in
the
"
Hourly
Travel
and
Directional
Factors"
section.
These
same
hourly
fractions,
used
to
distribute
HPMS
VMT
by
hour
of
day,
are
applied
as
input
to
MOBILE6.
The
only
differences
are
in
sequence
(
MOBILE6
hourly
input
starts
with
the
6
a.
m.
fraction)
and
format.
50
To
summarize,
TxDOT
continuous
ATR
data
(
for
1999
and
2001)
are
aggregated
within
the
SA/
MSA
for
developing
the
San
Antonio
area
hourly
travel
factors.
Hourly
travel
factors
are
developed
for
each
of
the
four
day
types.
Using
the
day
type­
specific
volumes,
these
factors
are
the
ratio
of
hourly
volumes
to
24­
hour
volume.

These
fractions
are
input
to
MOBILE6
as
an
external
data
file.
There
is
one
set
of
four
day
type­
specific
hourly
VMT
fractions
files
used
for
all
evaluation
years.
Table
7
shows
the
hourly
travel
factors.
The
MOBILE6
external
data
files
are
included
on
CD­
ROM,
as
described
in
Appendix
A.

VMT
Distribution
by
Average
Speed
on
Freeways
and
Arterials
(
SPEED
VMT
Command)
The
VMT
distributions
by
average
speed
inputs
are
called
by
the
SPEED
VMT
command,
but
are
accommodated
internally
by
the
POLFAC62
program
(
that
is,
no
user
speed
input
commands
or
data
parameter
values
are
required
when
producing
MOBILE6
emissions
factors
tables
with
POLFAC62).
POLFAC62
uses
the
SPEED
VMT
inputs
to
produce
the
individual
Freeway
and
Arterial
emissions
factors
indexed
by
the
14
MOBILE6
speed
bin
speeds.

There
are
14
scenarios,
each
with
100
percent
of
Freeway
and
Arterial
VMT
set
to
one
of
the
14
MOBILE
speed
bin
speeds.
Each
scenario
produces
a
set
of
Arterial
and
Freeway
emissions
factors
corresponding
to
one
of
the
14
speeds.

Weekend
Day
Vehicle
Usage
(
WE
VEH
US
Command)
MOBILE6
supplies
default
weekend
day
hourly
vehicle
usage
rates
for
start
distributions,
soak
distributions,
hot
soak
activity,
and
trip
length
distributions.
For
Saturday
and
Sunday
day
types
the
WE
VEH
US
command
was
applied
to
model
the
EPA
default
weekend
usage
rates
for
these
parameters
(
MOBILE6
uses
only
the
default
weekday
trip
length
distributions
for
both
weekday
and
weekend
day
types).

State
Programs
There
are
no
MOBILE6
State
Programs
descriptive
inputs
(
i.
e.,
I/
M,
ATP,
and
stage
II
refueling
programs)
modeled.

Fuels
 
Locality­
Specific
Inputs
to
MOBILE6
User
input
for
fuel
effects
modeling
for
the
SA/
MSA
evaluations
are
the
FUELS
PROGRAM,
FUEL
RVP
and
GASOLINE
SULFUR
commands
and
associated
input
parameters
and
options.
These
inputs
are
entered
in
the
MOBILE6
command
file.
The
MSA
is
modeled
with
conventional
gasoline.
Fuel
Program
(
FUEL
PROGRAM
Command)
The
MOBILE6
FUEL
PROGRAM
command
provides
the
user
four
options
for
modeling
fuels
effects.
The
conventional
gasoline
east
option
(
option
1)
is
used
for
this
analysis.
This
option
supplies
post­
1999
gasoline
sulfur
levels
by
year
under
the
Tier
2
rule
phase­
in
schedule
for
most
states
(
including
Texas).

Gasoline
RVP
(
FUEL
RVP
Command)
Gasoline
RVP
is
a
required
user­
input
to
MOBILE6
with
the
FUEL
RVP
command.
For
developing
modeling
emissions
inventories,
estimated
actual
RVPs
from
gasoline
sample
survey
data
from
the
modeling
area
and
episode
day
are
used
when
available.

MSA­
specific
gasoline
sample
survey
data
were
available
for
developing
estimated
actual
gasoline
RVP
inputs
for
this
analysis.
Actual
RVP
estimates
developed
by
Eastern
Research
Group,
Inc.
(
ERG)
for
the
purpose
of
updating
existing
EPA
National
Toxic
Inventory
(
NTI)
estimates
(
see
County­
Specific
Fuel
Parameters
for
1990,
1996,
and
1999
Toxic
Emissions
Modeling
[
Preparation
for
MOBILE6.2
model
Runs],
ERG,
October
2002)
were
available
for
1999.
The
summer
1999
estimated
RVP
value,
7.6
psi,
is
based
on
Alliance
Automobile
Manufacturers
North
American
(
AAM)
Gasoline
and
Diesel
Fuel
Survey
data
from
summer
1999
gasoline
sample
surveys
conducted
in
the
city
of
San
Antonio.
This
7.6
psi
estimated
actual
RVP
value
was
used
for
the
SA/
MSA
for
all
evaluation
years.

The
7.6
psi
value
was
used
for
2007
and
2012
analysis
years
assuming
a
compliance
safety
margin
of
0.2
psi
(
value
of
actual
RVP
below
the
regulated
RVP
limit,
which
is
7.8
psi
starting
in
2000).
This
compliance
safety
margin
for
the
future
year
analyses
is
a
conservative
estimate
in
comparison
to
the
1999
compliance
safety
margin
estimate
(
9.0
psi
regulated
limit
minus
7.6
psi
estimated
actual
equals
1.4
psi
under
the
limit).
It
would
be
51
unreasonable
to
assume
the
1999
1.4
psi
estimated
compliance
safety
margin
under
the
new
7.8
psi
limit,
which
would
result
in
a
6.4
psi
estimated
actual
RVP
value.
Thus,
based
on
these
data,
the
conservative
assumption
was
made
that
the
future
year
RVP
under
the
7.8
psi
limit
should
be
at
least
as
low
as
the
1999
estimated
actual
RVP
value
under
the
9.0
psi
limit.

Gasoline
Sulfur
Content
(
GASOLINE
SULFUR
Command)
For
1999
and
earlier
evaluation
years,
MOBILE6
allows
alternate
input
for
gasoline
sulfur
content
through
use
of
the
GASOLINE
SULFUR
command.
The
MOBILE6
default
is
300
parts
per
million
(
ppm)
sulfur
for
1999
and
earlier
years.

For
the
summer
1999
analysis,
the
estimated
actual
gasoline
sulfur
content,
447
ppm,
was
input
to
MOBILE6
with
the
GASOLINE
SULFUR
command.
This
summer
1999
estimated
actual
gasoline
sulfur
content
value
is
from
the
fuel
parameters
input
data
developed
by
ERG
for
updating
the
EPA
1999
NTI.
The
values
are
based
on
summer
1999
AAM
San
Antonio
gasoline
sample
survey
data.

For
2007
and
2012
evaluation
years,
the
MOBILE6
default
gasoline
sulfur
content
values
are
used.
These
values
correspond
to
the
Tier
2
sulfur
phase­
in
schedule
(
set
by
using
the
FUEL
PROGRAM
command
with
Option
1,
discussed
above).
MOBILE6
Alternative
Emissions
Regulations
and
Control
Measures
The
only
user­
input
value
applied
within
this
section
of
MOBILE6
commands,
is
related
to
the
HDDV
NOx
offcycle
emissions
effects.

In
the
late
1980s
and
most
of
the
1990s,
HDDV
engines
were
built
with
"
defeat
devices"
allowing
in­
use
engine
emissions
to
be
higher
than
emissions
as
specified
under
Federal
Test
Procedure
conditions.
MOBILE6
includes
estimates
of
these
excess
HDDV
emissions
as
well
as
the
emissions
offsetting
effects
of
two
programs
 
early
pullahead
of
2004
HDDV
emissions
standards,
and
low
emissions
rebuilds
of
existing
engines.

Information
from
EPA
led
to
the
conclusion
that
the
best
estimate
for
the
low
NOx
emissions
rebuilds
program
effectiveness
rate
for
the
1999
evaluation
is
1.0
percent.
The
EPA
information
showed
that
the
number
of
low
NOx
rebuild
kits
installed
(
as
of
January,
2002)
in
the
affected
population
was
0.97
percent.
The
1.0
percent
effectiveness
rate
is
assumed
for
1999,
however,
no
information
was
available
to
justify
a
non­
default
rebuild
effects
input
value
for
2007,
and
2012.

Thus,
for
each
evaluation
year,
the
effectiveness
rates
were
set
as
follows:

·
1999
Rebuild
Program
effectiveness
rate:
1.0
percent;
and
·
2007+
Rebuild
Program
effectiveness
rate:
90.0
percent.

The
90
percent
effectiveness
value
used
for
the
2007
and
2012
evaluations
is
the
EPA's
estimate,
which
is
applied
as
the
MOBILE6
default.
This
value
and
its
associated
command,
REBUILD
EFFECTS,
are
inputs
to
the
MOBILE6
command
file.

Emissions
Factor
Post­
Processing
Requirements
and
Procedures
There
is
one
limitation
of
the
MOBILE6
model
that
results
in
an
emissions
factors
post­
processing
requirement
for
this
analysis
 
MOBILE6
user­
specified
alternate
diesel
fuel
parameters
are
not
available
for
computing
the
VOC,
CO,
and
NOx
emissions
factors.

To
model
the
impacts
of
Texas
LED,
MOBILE6
diesel
vehicle
emissions
factors
were
post­
processed
(
with
the
RATADJV6
program,
described
in
Appendix
B).
The
NOx
adjustment
factor
of
0.943
was
multiplied
by
all
of
the
diesel­
fueled
vehicle
MOBILE6
2007
and
2012
NOx
emissions
factors.
This
adjustment
corresponds
to
a
reduction
in
NOx
emissions
factors
of
5.7
percent.
Development
of
this
value
is
documented
in
the
ERG
report,
Revised
SIP
52
Modeling
Procedures
for
the
HGA
Nonattainment
Area,
included
as
Appendix
G
of
Houston/
Galveston
Attainment
Demonstration
and
Post­
1999
Rate­
of­
Progress
SIP,
TNRCC,
October
2001.

On
completion
of
the
post­
processing
for
LED,
the
emissions
factors
are
ready
for
input
to
the
emissions
estimation
program.
The
emissions
factors
output
files
are
included
on
the
CD­
ROM.
See
Appendix
A
for
file
names
and
descriptions.

EMISSIONS
CALCULATIONS
Hourly
emissions
were
calculated
by
county
for
each
of
the
four
episode
days
using
the
IMPSUM62
program
(
see
description
in
Appendix
B).
With
the
day­
of­
week­
specific
VMT
and
emissions
factors
(
g/
mi)
for
each
hour,
emissions
were
calculated
for
each
of
the
28
vehicle
types
and
each
of
14
pollutant­
specific
emissions
types
by
direction
on
each
link
(
i.
e.
TDM
network
links
and
HPMS
virtual
links).

For
each
evaluation
year
and
day,
108
files
were
output
from
the
emissions
calculations:
96
hourly
linkemissions
files
(
24
hours
multiplied
by
four
counties),
four
summary
files
of
county­
level
hourly
and
24­
hour
emissions
estimates
cross
classified
by
vehicle
type
and
road
type
(
one
for
the
TDM
network
county
and
one
each
for
the
three
HPMS­
based
counties),
a
tab­
delimited
version
of
each
of
the
four
emissions
summary
files,
and
an
emissions
calculation
program
execution
log
file
corresponding
to
each
of
the
four
emissions
summary
files.
These
files
are
included
on
the
CD­
ROM
(
see
Appendix
A).

Hourly
Link
Emissions
For
each
county
and
analysis
day
type,
the
emissions
were
calculated
by
hour
for
each
link
using
the
following
basic
inputs:

·
MOBILE6
hourly
Freeway,
Arterial,
and
Ramp
emissions
factors
indexed
by
speed
for
28
vehicle
types,
developed
with
POLFAC62
(
and
RATEADJV6
program
for
postprocessed
rates);

·
records
associating
the
MOBILE6
Freeway
emissions
factors
to
the
freeway
links,
and
the
MOBILE6
Arterial
emissions
factors
to
the
non­
freeway
links
(
excluding
Ramps),
and
MOBILE6
Ramp
emissions
factors
to
the
TDM
network
links
coded
as
Ramp;

·
link­
specific
operational
VMT
and
speed
estimates
as
developed
(
for
each
hour)
for
TDM
network
and
added
intrazonal
links
(
or
HPMS
virtual
links)
using
the
PREPIN
program
to
include:
A­
node
(
HPMS
area
type
code),
B­
node
(
HPMS
functional
class
code),
county
number,
functional
classification
code
(
HPMS
area
type
and
functional
class
cross
combination
code),
link
length
(
HPMS
center
lane
miles),
congested
speed,
and
VMT;
and
·
VMT
mix
(
to
allocate
link
VMT
by
each
of
the
28
vehicle
types)
by
time
period
and
roadway
type.

For
each
hour,
the
emissions
estimates
were
computed
by
vehicle
type
for
each
link.
The
emissions
factors,
discussed
previously,
were
tabulated
in
look­
up
tables
by
hour,
road
type
(
drive
cycle),
vehicle
type,
and
14
speeds
(
2.5
mph
and
5
mph
to
65
mph
at
5
mph
intervals)
for
the
four­
county
SA/
MSA.
MSA­
level,
24­
hour
VMT
mix
correlated
to
day
type
and
functional
classification
group,
were
multiplied
by
the
fleet
total
link
VMT
to
produce
hourly
link
VMT
estimates
by
the
28
vehicle
types.
Emissions
factors
were
then
matched
with
link­
level
VMT
based
on
county,
speed,
road
type,
hour,
and
vehicle
class.
Emissions
factors
for
link
speeds
that
are
not
represented
in
the
set
of
14
MOBILE6
speed
bin
speeds
were
calculated
by
interpolation
(
see
example
calculation,
Appendix
B).
For
link
speeds
greater
than
or
less
than
the
MOBILE6
bounding
speeds
of
65
mph
and
2.5
mph,
the
emissions
factors
corresponding
to
those
bounding
speeds
were
used,
respectively.
The
link
VMT
were
then
multiplied
by
the
emissions
factors
to
produce
the
link­
level
emissions
estimates
in
grams.
53
Tables
34
and
35
show
the
correlation
of
the
functional
classes
to
the
MOBILE6
drive
cycles
and
to
the
VMT
mix
functional
classification
groups,
as
used
in
the
emissions
calculations
for
the
TDM
network
counties
and
the
HPMS­
based
counties,
respectively.

Table
34
San
Antonio
TDM
Network
Functional
Class
Groupings
for
Allocation
of
VMT
Mix
and
MOBILE6
Drive
Cycle
Emissions
Factors
MOBILE6
Drive
Cycle
Functional
Class
Name
VMT
Mix
Functional
Group
Radial
Freeway
Expressway
Circular
Freeway
Freeway
HOV*
Freeway
Ramp
Ramp
Radial
Parkway
Primary
Arterial
Divided
Primary
Arterial
Undivided
Minor
Arterial
Divided
Minor
Arterial
Undivided
Circular
Parkway
Circular
Arterial
Undivided
Arterial
Collectors
Divided
Collectors
Undivided
Centroid
Connector
Arterial
Intrazonal
Collector/
Local
*
Used
only
for
2015
network
(
2012
emissions
analysis).
54
Table
35
HPMS
Functional
Class
Groupings
for
Allocation
of
VMT
Mix
and
MOBILE6
Drive
Cycle
Emissions
Factors
MOBILE6
Drive
Cycle
HPMS
Functional
Class
VMT
mix
Functional
Group
Interstate
Freeway
Freeway
Freeway
Other
Principal
Arterial
Minor
Arterial
Arterial
Major
Collector
Minor
Collector
Arterial
Local
Collector
For
each
evaluation
year
and
episode
day,
county­
level,
hourly
link­
emissions
files
were
produced.
The
linkemissions
file
data
elements
for
each
TDM
network
(
and
intrazonal)
link
are:
A­
node,
B­
node,
functional
class
code,
pollutant­
specific
emissions
type
label,
and
emissions
estimates
(
grams)
for
each
of
the
28
vehicle
types.
The
HPMS­
based
county
link­
emissions
output
data
elements
are
the
same
except
for
the
first
three,
which
are:
HPMS
functional
classification
number,
HPMS
area
type
number,
and
HPMS
area
type
and
functional
class
cross
combination
code
(
See
Appendix
A).

Day­
of­
Week
Hourly
and
24­
hour
Emissions
Summaries
For
each
analysis
day,
by
individual
county,
the
link­
emissions
estimates
were
summed
for
each
hour,
and
the
hourly
emissions
were
summed
for
each
day.
The
resulting
composite
VOC,
CO,
and
NOx
emissions
estimates
are
summarized
in
pounds
by
road
type,
vehicle
type,
and
road
type
and
vehicle
type
cross
classification.
VMT,
VHT,
VMT­
weighted
speeds,
and
other
inventory
data
are
included
with
the
emissions
summaries.
These
files
(*.
LST
and
a
tab
delimited
version,
*.
TAB)
are
included
with
the
set
of
data
files
provided
on
CD­
ROM
(
see
Appendix
A).
56
APPENDIX
A
ELECTRONIC
SUBMITTAL
DATA
SET
NAMES
AND
DESCRIPTIONS
58
SA/
MSA
1999,
2002,
2005,
2007,
AND
2012
COUNTY
EMISSIONS
INVENTORIES
ELECTRONIC
SUBMITTAL
DATA
SET
NAMES
AND
DESCRIPTIONS
The
emissions
inventories
(
EI)
for
the
SA/
MSA
include
one
TDM
network­
based
county
(
Bexar),
and
three
HPMSbased
counties
(
Comal,
Guadalupe,
and
Wilson).
The
EIs
are
for
four
September
1999
episode
days
(
a
Weekday
[
average
Monday
through
Thursday],
Friday,
Saturday,
and
Sunday)
for
each
county
and
evaluation
year.
This
appendix
describes
the
EI
data
set
files
that
are
provided
on
CD­
ROM
along
with
this
Technical
Note.

Although
the
HPMS­
based
EIs
are
not
network
link­
based,
the
hourly
emissions
files
are
produced
in
the
network
link­
emissions
file
format,
and
are
referred
to
as
link­
emissions
files.
Network
link
coordinates
are
provide
for
the
TDM­
based
counties;
no
coordinates
are
provided
for
the
HPMS­
based
county
data.

CD­
ROMs
The
EI
data
are
contained
on
seven
CD­
ROMs.
There
are
six
CD­
ROMs
that
contain
the
link­
emissions
files
and
EI
summary
files;
and
one
CD­
ROM
that
contains
the
MOBILE6
input/
output
files,
the
network
link
coordinates
and
a
copy
of
this
electronic
submittal
data
description.

Link­
Emissions
File
Formats
and
Data
Definitions
Tables
36
through
42
show
the
link
emissions
file
format
and
data
definitions.
Emissions
are
not
gridded;
coordinates
are
included
for
the
travel
demand
model
network
links.

TDM
Network
Node
Coordinates
The
TDM
network
node
coordinate
files
are
zipped
(
in
coord.
zip)
on
the
CD­
ROM
named
"
SA_
EF_
XY".
The
specifications
of
the
coordinates
when
imported
into
TRANSCAD
are:

·
Class
­
North
America
NAD27
(
U.
S.
State
Plane);
and
·
Zone
­
TxDOT
:
Texas
Statewide
Mapping
System.

The
node
ID,
Longitude,
and
Latitude
are
provided
for
the
1999,
2007,
and
2015
network
nodes
(
link
ends)
in
the
following
files:

·
1999
network:
SanAnt99coord.
txt;
·
2007
network:
SanAnt07coord.
txt;
and
·
2015
network:
SanAnt15coord.
txt.

Emissions
Data:
There
are
two
CD­
ROMs
(
a
and
b)
for
each
analysis
year
(
six
CD­
ROMs
total).
Each
CD­
ROM
contains
one
zip
file
with
about
half
of
the
data
for
a
particular
evaluation
year.
The
CD­
ROM
names
are
"
SAYY#_
EM",
where
YY
=
99,
07,
12
corresponding
to
analysis
year;
#
=
a,
b
corresponding
to
half
a
year's
data.
Each
set
of
CD­
ROMs
(
i.
e.,
a
and
b)
includes:

·
county
level
hourly
link­
emissions
files
(
24
hours
for
each
of
the
four
counties
for
each
of
the
four
days
=
384
ASCII
files,
with
.
T01,
.
T02....
T24
extensions);
·
IMPSUM62
county­
level
hourly
emissions
inventory
data
summaries
to
include
VMT
mix,
VMT,
VHT,
average
speed,
and
emissions
cross
classified
by
vehicle
type
and
road
type;
SUMALL62
county­
level
24­
hour
emissions
inventory
data
summaries
(
one
ASCII
file
per
TDM
network
and
one
ASCII
file
per
HPMS­
based
county
for
each
of
the
four
day
types
=
16
files,
with
.
LST
extension);

·
tab­
delimited
version
of
second
bullet
above
(
16
ASCII
files
with
.
TAB
extension);
and
·
log
of
emissions
estimation
program
runs
(
16
ASCII
files
with
.
LOG
extension).
59
Data
set
file
names
are:

countyname_
sepyyddd_
emis.
Thr;
SAsepyyddd_
ntwk.
LOG;
Hcountyname_
sepyyddd.
LOG;
SAsepyyddd_
ntwk.
LST;
Hcountyname_
sepyyddd.
LST;
SAsepyyddd_
ntwk.
TAB;
and
Hcountyname_
sepyyddd.
TAB.

Where:

countyname
is
the
county
name;
yy
is
the
last
two
digits
of
the
evaluation
year;
ddd
is
the
day­
type:
WKD,
FRI,
SAT,
or
SUN;
hr
is
01...
24
representing
the
hours
12
a.
m.
through
11
p.
m.
(
local
time);
SA
stands
for
the
San
Antonio
area
TDM
network;
and
Hcountyname
is
the
county
name
for
HPMS­
based
counties
(
Comal,
Guadalupe,
and
Wilson).

Emissions
Factor
Data:
The
four­
county
SA/
MSA
emissions
factors
input/
output
files
are
on
the
CD
"
SA_
EF_
XY."
One
zip
file,
SA_
EF99_
12.
zip,
contains
43
files
that
comprise
all
of
the
emissions
factor
inputs
an
outputs.
The
files
include
MOBILE6
command
and
external
data
files,
interim
and
final
hourly
emissions
factors,
interim
and
final
daily
emissions
factors,
modeling
run
logs
and
MOBILE6
descriptive
output
listings.
60
File
Naming
Conventions
Input
files
are:

ddsepyyDT_
SA.
in
(
12
command
input
files);
SAmsa02.
rgd
(
one
MSA­
level
registration
distribution
file);
and
SA_
dd.
vhr
(
four
MSA­
level
hourly
VMT
files,
one
per
day
type).

Final
hourly
emissions
factor
table
output
files
are:

ddsepfyDT_
SA.
rat
(
four
files,
one
per
day
type
for
1999);
and
ddseplyDT_
SA_
led.
rat
(
eight
files,
one
per
day
type
each
for
2007
and
2012
adjusted
for
LED).

Interim
hourly
emissions
factor
table
output
files
are:

ddseplyDT_
SA.
rat
(
eight
hourly
tables,
one
per
day
type
each
for
2007
and
2012
prior
to
lowemissions
diesel
fuel
adjustment
procedure).

Daily
emissions
factor
tables
output
files
are:

same
as
above
(
20)
hourly
files,
except
with
the
".
rtd"
extension
in
place
of
".
rat."

LOG
and
LST
output
files:

saEAC_
sepyy_
RT.
LOG
(
three
emissions
factor
run
log
files,
one
per
evaluation
year);
and
saEAC_
sepyy_
RT.
LST
(
three
files
with
MOBILE6
scenario
descriptive
output**).

Where:

yy
is
the
last
two
digits
for
each
of
the
three
evaluation
years;
dd
is
the
day
date
for
each
of
the
four
episode
days;
fy
is
the
last
two
digits
of
the
first
evaluation
year:
1999;
ly
is
the
last
two
digits
of
the
last
two
evaluation
years:
2007,
2012;
and
DT
is
day­
type
represented
by:
WK,
FR,
SA,
and
SU.

*
Note
that
the
"
Daily
ALL"
emissions
factors
(
network
average
daily
emissions
factors)
in
the
.
rtd
files
are
meaningless
for
this
analysis
(
because
they
are
composited
based
on
the
MOBILE6
default
VMT
BY
FACILITY).
From
the
daily
emissions
factor
files,
only
the
road
type­
specific
(
i.
e.,
individual
drive
cycle)
daily
emissions
factors
(
FRWY,
ART,
LOC,
and
RAMP)
are
valid.
**
The
descriptive
MOBILE6
output
is
useful
as
a
check
of
inputs
(
some
of
which
are
listed
in
the
descriptive
output)
but
not
for
the
emissions
factors
themselves
which
composites
based
on
MOBILE6
default
VMT
BY
FACILITY
values.
61
Table
36
Link
Emissions
Data
Fields
for
HPMS­
based
Counties
Abbreviation
Columns
Format
Type
Description
HPMS
Area
Type
1
­
6
I6
HPMS
Area
Type
Code
(
1­
3)
(
see
Table
39).

HPMS
Functional
Class
7
­
12
I6
HPMS
Functional
Class
Code
(
1­
7)
(
see
Table
40).

FC
13
­
15
I3
Functional
Classification
of
Link
(
see
Table
41).

EMISS
17
­
19
A3
"
VOC,"
or
"
CO,"
or
"
NOx"

ETYPE
21
­
31
A11
Emissions
sub­
component
type
(
see
Table
44).

LDGV
32
­
41
F10.?*
LDGV
link
emissions
in
grams
LDGT1
42
­
51
F10.?
LDGT1
link
emissions
in
grams
LDGT2
52
­
61
F10.?
LDGT2
link
emissions
in
grams
LDGT3
62
­
71
F10.?
LDGT3
link
emissions
in
grams
LDGT4
72
­
81
F10.?
LDGT4
link
emissions
in
grams
HDGV2B
82
­
91
F10.?
HDGV2B
link
emissions
in
grams
HDGV3
92
­
101
F10.?
HDGV3
link
emissions
in
grams
HDGV4
102
­
111
F10.?
HDGV4
link
emissions
in
grams
HDGV5
112
­
121
F10.?
HDGV5
link
emissions
in
grams
HDGV6
122
­
131
F10.?
HDGV6
link
emissions
in
grams
HDGV7
132
­
141
F10.?
HDGV7
link
emissions
in
grams
HDGV8A
142
­
151
F10.?
HDGV8A
link
emissions
in
grams
HDGV8B
152
­
161
F10.?
HDGV8B
link
emissions
in
grams
LDDV
162
­
171
F10.?
LDDV
link
emissions
in
grams
LDDT12
172
­
181
F10.?
LDDT12
link
emissions
in
grams
HDDV2B
182
­
191
F10.?
HDDV2B
link
emissions
in
grams
HDDV3
192
­
201
F10.?
HDDV3
link
emissions
in
grams
HDDV4
202
­
211
F10.?
HDDV4
link
emissions
in
grams
HDDV5
212
­
221
F10.?
HDDV5
link
emissions
in
grams
HDDV6
222
­
231
F10.?
HDDV6
link
emissions
in
grams
HDDV7
232
­
241
F10.?
HDDV7
link
emissions
in
grams
HDDV8A
242
­
251
F10.?
HDDV8A
link
emissions
in
grams
HDDV8B
252
­
261
F10.?
HDDV8B
link
emissions
in
grams
MC
262
­
271
F10.?
MC
link
emissions
in
grams
HDGB
272
­
281
F10.?
HDGB
link
emissions
in
grams
HDDBT
282
­
291
F10.?
HDDBT
link
emissions
in
grams
HDDBS
292
­
301
F10.?
HDDBS
link
emissions
in
grams
LDDT34
302
­
311
F10.?
LDDT34
link
emissions
in
grams
*
The
F10?
format
is
either
F10.0,
F10.1,
F10.2,
F10.3,
or
F10.4.
The
format
selected
for
a
field
is
based
on
the
value
of
the
field.
62
Table
37
HPMS
Area
Type
Codes
HPMS
Area
Type
Code
Description
1
Rural
2
Small
Urban
3
Urban
Table
38
HPMS
Functional
Classification
Codes
HPMS
Functional
Class
Code
Description
1
Interstate
2
Freeway
3
Other
Principal
Arterial
4
Minor
Arterial
5
Major
Collector
6
Minor
Collector
7
Local
63
Table
39
Link
Functional
Classification*
Codes
for
HPMS­
based
Counties
Functional
Class*
Description
0
Rural
Interstate
2
Rural
Other
Principal
Arterial
3
Rural
Minor
Arterial
4
Rural
Major
Collector
5
Rural
Minor
Collector
6
Rural
Local
7
Small
Urban
Interstate
8
Small
Urban
Freeway
9
Small
Urban
Other
Principal
Arterial
10
Small
Urban
Minor
Arterial
11
Small
Urban
Major
Collector
12
Small
Urban
Minor
Collector
13
Small
Urban
Local
14
Urban
Interstate
15
Urban
Freeway
16
Urban
Other
Principal
Arterial
17
Urban
Minor
Arterial
18
Urban
Major
Collector
20
Urban
Local
*
"
Virtual
link"
codes
for
each
of
the
up
to
21
HPMS
Functional
Class
and
Area
Type
combinations.
64
Table
40
TDM
Network
Link
Emissions
Data
File
Format
Abbreviation
Columns
Format
Type
Description
A
Node
1
­
6
I6
A­
Node
of
link
B
Node
7
­
12
I6
B­
Node
of
link
FC
13
­
15
I3
Functional
Classification
Code
of
Link
(
see
Table
43)

EMISS
17
­
19
A3
"
VOC,"
or
"
CO,"
or
"
NOx"

ETYPE
21
­
31
A11
Emissions
Sub­
Component
Type
(
see
Table
44)

LDGV
32
­
41
F10.?*
LDGV
link
emissions
in
grams
LDGT1
42
­
51
F10.?
LDGT1
link
emissions
in
grams
LDGT2
52
­
61
F10.?
LDGT2
link
emissions
in
grams
LDGT3
62
­
71
F10.?
LDGT3
link
emissions
in
grams
LDGT4
72
­
81
F10.?
LDGT4
link
emissions
in
grams
HDGV2B
82
­
91
F10.?
HDGV2B
link
emissions
in
grams
HDGV3
92
­
101
F10.?
HDGV3
link
emissions
in
grams
HDGV4
102
­
111
F10.?
HDGV4
link
emissions
in
grams
HDGV5
112
­
121
F10.?
HDGV5
link
emissions
in
grams
HDGV6
122
­
131
F10.?
HDGV6
link
emissions
in
grams
HDGV7
132
­
141
F10.?
HDGV7
link
emissions
in
grams
HDGV8A
142
­
151
F10.?
HDGV8A
link
emissions
in
grams
HDGV8B
152
­
161
F10.?
HDGV8B
link
emissions
in
grams
LDDV
162
­
171
F10.?
LDDV
link
emissions
in
grams
LDDT12
172
­
181
F10.?
LDDT12
link
emissions
in
grams
HDDV2B
182
­
191
F10.?
HDDV2B
link
emissions
in
grams
HDDV3
192
­
201
F10.?
HDDV3
link
emissions
in
grams
HDDV4
202
­
211
F10.?
HDDV4
link
emissions
in
grams
HDDV5
212
­
221
F10.?
HDDV5
link
emissions
in
grams
HDDV6
222
­
231
F10.?
HDDV6
link
emissions
in
grams
HDDV7
232
­
241
F10.?
HDDV7
link
emissions
in
grams
HDDV8A
242
­
251
F10.?
HDDV8A
link
emissions
in
grams
HDDV8B
252
­
261
F10.?
HDDV8B
link
emissions
in
grams
MC
262
­
271
F10.?
MC
link
emissions
in
grams
HDGB
272
­
281
F10.?
HDGB
link
emissions
in
grams
HDDBT
282
­
291
F10.?
HDDBT
link
emissions
in
grams
HDDBS
292
­
301
F10.?
HDDBS
link
emissions
in
grams
LDDT34
302
­
311
F10.?
LDDT34
link
emissions
in
grams
*
The
F10?
format
is
either
F10.0,
F10.1,
F10.2,
F10.3,
or
F10.4.
The
format
selected
for
a
field
is
based
on
the
value
of
the
field.

Table
41
San
Antonio
TDM
Network
Functional
Classifications
65
Functional
Class
Code
Functional
Class
Name
0
Local
Roads
1
Radial
Freeway
2
Radial
Parkway
3
Expressway
4
Primary
Arterial
Divided
5
Primary
Arterial
Undivided
6
Minor
Arterial
Divided
7
Minor
Arterial
Undivided
8
Collectors
Divided
9
Collectors
Undivided
10
Frontage
Road
11
Ramp
12
Circumferential
Freeway
13
Circumferential
Parkway
14
Circumferential
Arterial
35
HOV*

40
Intrazonal
*
Only
used
2015
network
but
classified
as
Radial
Freeway
due
to
lack
of
data
for
HOV.
66
Table
42
Emissions*
Sub­
component
Type
Sub­
Component
Abbreviation
Description
Composite
Total
emissions
Exh
Running
Exhaust
running
emissions
Start
Start
emissions
Hot
Soak
Hot
Soak
VOC
emissions
Diurnal
Diurnal
VOC
emissions
Rest
Loss
Resting
loss
VOC
emissions
Run
Loss
Running
loss
VOC
emissions
Crankcase
Crankcase
VOC
emissions
Refueling
Refueling
loss
VOC
emissions
*
VOC,
CO,
and
NOx.
68
APPENDIX
B
EMISSIONS
ESTIMATION
PROGRAMS
70
TTI
EMISSIONS
ESTIMATION
PROGRAMS
The
following
is
a
summary
of
programs
developed
by
TTI
that
may
be
used
to
produce
TDM
network
link­
based
and
HPMS
"
virtual
link"­
based,
hourly,
on­
road
mobile
source
emissions
estimates
for
air
quality
analyses.

For
the
TDM­
based
analyses
the
emissions
estimates
are
made
at
the
TDM
network
link
level
(
for
thousands
of
links)
where
geographical
coordinates
are
associated.

For
the
HPMS­
based
analyses,
emissions
estimates
are
made
at
the
functional
classification/
area
type
level
which
constitutes
a
21­
cell
array
defined
by
seven
functional
classifications
and
three
area
types,
or
road­
type
"
cells."
These
road­
type
cells
may
be
viewed
as
a
roadway
network
(
analogous
to
the
TDM
network,
but
with
larger
and
fewer
links)
consisting
of
up
to
21
links
(
or,
with
directionality
included,
42
links).

Hereafter,
for
the
purpose
of
this
discussion,
the
term
"
link"
may
be
used
to
mean
either
a
TDM
network
link
or
an
HPMS
"
virtual
link."

The
main
emissions
estimation
programs
are:
PREPIN
(
2BW
for
TDM
network
analyses
and
254HPMS
for
HPMS
analyses),
POLFAC62,
RATEADJ62,
RATEADJV62,
IMPSUM62,
and
SUMALL62.
PREPIN
prepares
activity
input,
POLFAC62
prepares
emissions
factor
input,
the
RATEADJ
programs
make
special
adjustments
to
emissions
factors
when
required,
IMPSUM62
calculates
emissions
by
time
period,
and
SUMALL62
summarizes
emissions
and
other
EI
data
at
various
levels
by
24­
hour
period.

PREPIN
The
PREPIN2BW
program
post­
processes
travel
model
output
to
produce
time­
of­
day­
specific,
on­
road
vehicle
fleet,
link
VMT
and
speed
estimates
for
emissions
inventory
applications.
The
PREPIN2BW
program
was
developed
for
use
in
urban
areas
that
do
not
have
all
of
the
time­
of­
day
assignments
and
operational
speeds
available
as
may
be
required
for
air
quality
analyses
of
particular
temporal
scales
(
e.
g.,
hourly).

For
example,
PREPIN2BW
reads
a
travel
demand
model
traffic
assignment
data
set
from
a
directional
four
period
time­
of­
day
assignment
(
another
common
assignment
read
by
PREPIN2BW
is
the
nondirectional
or
directional
24­
hour
assignment).
PREPIN2BW
initially
scales
the
assignment
volumes
on
each
link
to
the
appropriate
VMT
(
seasonal,
day­
of­
week
specific,
for
instance).
Time­
of­
day
(
hourly,
for
example)
factors
(
and
directional
split
factors,
in
the
case
of
a
nondirectional
assignment)
are
applied
to
the
adjusted
assignment
results
on
each
link
to
estimate
the
directional
time­
of­
day
travel
on
the
link.
Speed
models,
originally
developed
for
the
Dallas/
Fort
Worth
Region
or
optionally
the
Houston/
Galveston
Region,
are
used
to
estimate
the
operational
time­
ofday
speeds
by
direction
on
the
links.
Special
intrazonal
links
are
defined
(
as
intrazonal
links
are
not
a
feature
of
travel
demand
models),
and
the
VMT
and
speeds
for
intrazonal
trips
are
estimated.
These
VMT
and
speeds
by
link
are
subsequently
input
to
the
IMPSUM6
program
for
the
application
of
MOBILE6
emissions
factors.

PREPIN254HPMS
The
PREPIN254HPMS
program
processes
the
Statewide
HPMS
county
AADT
VMT,
centerline
miles,
and
lane
miles
by
functional
classification
and
area
type
to
produce
hourly,
on­
road
vehicle
fleet,
seasonal
and
day­
of­
weekspecific
actual
or
forecast
VMT
and
directional
speed
estimates
for
EI
applications.
These
estimated
VMT
and
speeds
are
produced
for
21
HPMS
functional
classification/
area
type
combinations,
or
"
links."
The
program
was
developed
for
use
in
areas
that
do
not
have
TDM
networks,
and
for
EI
applications
where
network
link­
based
detail
is
not
required.
However,
the
HPMS
link
speeds
are
developed
analogous
to
those
produced
from
network
travel
model­
based
input
data,
except
with
a
much
smaller
set
of
"
links."
The
main
inputs
are:

·
TxDOT
statewide
HPMS
data
set
at
the
county
level
which
includes
AADT
VMT,
centerline
miles,
and
lane
miles
by
HPMS
area
type
and
functional
class;

·
county­
level
VMT
control
totals;
71
·
list
of
Texas
county
names;

·
hourly
VMT
distributions;
and
·
Dallas/
Fort
Worth
speed
modeling
inputs
to
include
volume/
delay
equation
parameters
adapted
for
HPMS,
and
freeflow
speeds
and
lane
capacities
by
HPMS
functional
classification
and
area
type.

The
program
initially
allocates
the
county
control
total
VMT
(
VMT
adjusted
for
season,
etc.)
to
the
link,
proportional
HPMS
AADT
VMT
on
each
link.
Hourly
factors
and
directional
split
factors
are
applied
to
the
adjusted
VMT
on
each
link
to
estimate
the
hourly
directional
VMT
(
and
volumes)
by
HPMS
link.
Speed
models,
originally
developed
for
the
Dallas/
Fort
Worth
Region,
are
used
to
estimate
the
hourly
operational
speeds
by
direction
for
each
link.
The
operational
speeds
are
based
on
v/
c
derived
directional
delay
(
minutes/
mile)
applied
to
the
estimated
freeflow
speeds
for
each
link.
These
HPMS
link­
VMT
and
speed
estimates
are
subsequently
input
to
the
IMPSUM62
program
for
the
application
of
MOBILE6
emissions
factors.

POLFAC62
The
POLFAC62
program
is
used
to
apply
the
EPA's
MOBILE6
program
(
October
2002
version
with
additional
pollutant
capabilities)
to
calculate
the
on­
road
mobile
emissions
factors.
The
MOBILE6
emissions
factors
may
be
produced
for
each
of
the
pollutant­
specific
emissions
types
(
e.
g.,
depending
on
the
pollutant
and
vehicle
type,
the
total
composite,
exhaust
running,
exhaust
start,
plus
the
six
sub­
component
evaporative
rates),
28
vehicle
types,
four
MOBILE6
functional
classifications
(
or
drive
cycles,
i.
e.,
Freeway,
Arterial/
Collector,
Local,
and
Ramp),
14
speeds
(
i.
e.,
2.5
mph,
and
5
mph
through
65
mph
at
5
mph
increments
for
Freeway
and
Arterial
functional
classifications
 
MOBILE6
Local
and
Ramp
functional
classification
rates
are
single
speed
only,
12.9
mph,
and
34.6
mph,
respectively),
and
each
of
the
24
hours
of
the
day.

The
POLFAC62
emissions
factors
are
average
vehicle
class
rates
calculated
from
the
MOBILE6
database
output
by
weighting
the
by­
model­
year
emissions
rates
within
each
vehicle
class
by
its
corresponding
travel
fraction.
These
emissions
factors
are
tabulated
individually
by
geographical
area
(
county
or
county
group)
and
analysis
day
for
the
evaluation
year.
These
emissions
factors
are
output
to
an
ASCII
file
for
subsequent
input
to
the
IMPSUM62
program.
The
IMPSUM62
program
is
then
used
to
apply
the
hourly
emissions
factors
to
hourly
VMT
estimates
by
link.
(
POLFAC62
also
optionally
produces
a
set
of
daily
emissions
factors.)
POLFAC62
also
calculates
the
additional
pollutant
emissions
factors
provided
by
the
MOBILE6
October
2002
version.

RATEADJ62
RATEADJ62
is
a
special
utility
program
that
produces
a
new
set
of
emissions
factors
by
linearly
combining
the
emissions
factors
from
multiple
applications
of
POLFAC62.
There
is
one
set
of
linear
factors.
Each
factor
is
applied
to
all
emissions
rates
in
a
single
data
set.

A
practical
application
of
the
RATEADJ
program
is
the
combining
of
two
sets
of
emissions
factors,
where
each
set
has
different
control
program
credits,
into
one
set
including
the
combined
credits.
For
example,
this
program
may
be
used
to
combine
different
ATP
credits
from
two
separate
POLFAC62
runs
into
one
set
of
emissions
factors
that
includes
the
credits
for
both
ATPs.

RATEADJV62
RATEADJV62
is
a
special
utility
program
that
produces
a
new
set
of
emissions
factors
by
linearly
combining
the
emissions
factors
from
multiple
applications
of
POLFAC62
or
RATEADJ62.
There
is
a
separate
set
of
factors
(
that
may
be
different
for
each
pollutant­
specific
emissions
type
and
vehicle
type
combination)
for
each
of
the
input
emissions
factor
data
sets.
72
A
practical
application
of
RATEADJV62
is
the
application
of
emissions
factor
credits
by
individual
vehicle
class
and/
or
individual
pollutant.
For
example,
for
analyses
requiring
the
effects
of
the
Texas
Low­
Emissions
Diesel
Fuel
Program
in
MOBILE6
emissions
factors,
RATEADJV62
is
used
to
apply
reduction
factors
to
only
the
NOx
emissions
factors
for
diesel­
fueled
vehicle
classes
only.

IMPSUM62
The
IMPSUM62
program
applies
the
emissions
factors
obtained
from
POLFAC62
(
or
from
one
of
the
RATEADJ
programs,
when
used)
and
VMT
mixes
(
fractions
of
fleet
VMT
attributable
to
each
vehicle
classification
in
the
study)
to
the
time­
of­
day
fleet
VMT
and
speed
estimates
to
calculate
emissions
by
the
specified
time
periods.
The
five
primary
inputs
to
IMPSUM62
are:

·
MOBILE6
emissions
factors
developed
with
POLFAC62
(
or
a
RATEADJ6,
if
used);

·
link­
based
hourly
VMT
and
speeds
developed
using
a
PREPIN
program.
For
each
link,
the
following
information
is
input
to
IMPSUM:
county
number,
roadway
type
number,
VMT
on
link,
operational
link­
speed
estimate,
and
link
distance;

·
VMT
mix
by
time
period,
county
and
roadway
type;

·
X­
Y
coordinates
(
optional
for
gridded
emissions);
and
·
data
records
associating
the
MOBILE6
drive
cycle
(
Freeway,
Arterial,
Local,
Ramp)
emissions
factors
(
or
percentages
thereof)
to
specific
travel
model
functional
classifications.
These
MOBILE6
drive
cycle
emissions
factor
percentages
(
valid
from
zero
to
100)
must
sum
to
100
percent
for
each
travel
model
functional
classification.

Using
these
input
data,
the
VMT
for
each
link
is
stratified
by
MOBILE6
drive
cycle
and
the
28
vehicle
types.
The
MOBILE6
emissions
factors
are
matched
to
link
VMT
by
drive
cycle,
speed,
and
vehicle
type
and
are
interpolated
(
for
the
speed
that
falls
between
the
14
MOBILE6
speeds,
see
the
MOBILE6
interpolation
methodology
below)
and
multiplied
by
the
link
VMT
to
estimate
the
mobile
source
emissions
for
that
link.
Emissions
factors
for
65
mph
are
used
for
links
with
speeds
greater
than
65
mph
and
emissions
factors
for
2.5
mph
are
used
for
links
with
speeds
lower
than
2.5
mph.
The
emissions
for
the
county
and
emissions
type
are
reported
by
both
roadway
type
and
vehicle
type
for
each
of
the
subject
time
periods.
A
data
set
is
produced
for
subsequent
input
to
the
SUMALL62
program.
Also,
link
emissions
may
be
written
by
county
at
the
pollutant­
specific
emissions
type
sub­
component
level
and
28
vehicle
types
level.

A
tab­
delimited
output
is
optionally
produced.
This
output
includes
all
28
vehicle
types
(
or
eight
vehicle
types
in
the
compressed
format)
across
a
single
output
line.
Each
field
in
the
output
is
separated
by
a
tab
character.

Example
Emissions
Factor
Interpolation
To
calculate
emissions
factors
for
average
operational
speeds
that
fall
between
two
of
the
14
MOBILE6
speed
bin
speeds,
MOBILE6
interpolates
each
emissions
factor
using
a
factor
developed
from
the
inverse
link
speed
and
the
inverse
high
and
low
bounding
speed
bin
speeds
(
Section
5.3.4,
MOBILE6
User's
Guide,
January
2002).

Using
the
MOBILE6
emissions
factors
tabulated
by
the
14
speeds,
the
IMPSUM62
program
uses
the
MOBILE6
method
to
interpolate
emissions
factors
as
shown
in
the
following
example.
This
example
interpolates
an
emissions
factor
corresponding
to
an
average
speed
of
41.2
mph.

The
interpolated
emissions
factor
(
EFInterp)
is
expressed
as:
73
EFInterp
=
EFLowSpeed
­
FACInterp
×
(
EFLowSpeed
­
EFHighSpeed
)

Where:

EFLowSpeed
=
emission
factor
(
EF)
corresponding
to
tabulated
speed
below
the
average
link
speed,

EFHighSpeed
=
EF
corresponding
to
tabulated
speed
above
the
average
link
speed,
and
74
FACInterp
=

Given
that:

EFLowSpeed
=
0.7413
g/
mi,
EFHighSpeed
=
0.7274
g/
mi,
Speedlnk
=
41.2
mph,
Speedlow
=
40
mph,
and
Speedhigh=
45
mph.

FACInterp
=
=
=
0.26214,

EFInterp
=
0.7413
g/
mi
­
(
0.26214)
×
(
0.7413
g/
mi
­
0.7274
g/
mi)

=
0.7377
g/
mi
SUMALL62
The
SUMALL62
program
is
used
to
sum
the
emissions
estimates
for
the
time­
of­
day
periods
(
e.
g.,
24
periods
in
the
case
of
hourly
analyses)
to
develop
24­
hour
emissions
estimates.
The
emissions
by
pollutant
type
are
reported
by
roadway
type
and
28
vehicle
types
(
or
optionally
condensed
to
eight
vehicle
types).

A
tab­
delimited
output
is
optionally
produced.
This
output
includes
all
28
vehicle
types
(
or
eight
vehicle
types
in
the
compressed
format)
across
a
single
output
line.
Each
field
in
the
output
is
separated
by
a
tab
character.

The
overall
emissions
estimate
process
flow
is
shown
in
the
diagram
below.
75
76
APPENDIX
C
DIRECTIONAL
SPLIT
ESTIMATES
78
San
Antonio
Network
Directional
Split
Factors
­
AM
Peak
Period
Area
Type*

Functional
Class
1
2
3
4
5
6
Local
Roads
50.00000
50.00000
50.00000
50.00000
50.00000
50.00000
Radial
Freeway
53.37670
53.37670
74.13610
61.25710
61.73610
74.13610
Radial
Parkway
53.37670
53.37670
74.13610
61.25710
61.73610
74.13610
Expressway
53.37670
53.37670
74.13610
61.25710
61.73610
74.13610
Primary
Arterial
Divided
68.72790
68.72790
68.03360
56.38190
61.73610
68.03360
Primary
Arterial
Undivided
68.72790
68.72790
68.03360
56.38190
61.73610
68.03360
Minor
Arterial
Divided
68.72790
68.72790
68.03360
56.38190
61.73610
68.03360
Minor
Arterial
Undivided
68.72790
68.72790
68.03360
56.38190
61.73610
68.03360
Collectors
Divided
65.87060
65.87060
65.87060
65.87060
65.57410
65.87060
Collectors
Undivided
65.87060
65.87060
65.87060
65.87060
65.57410
65.87060
Frontage
Road
68.72790
68.72790
68.03360
56.38190
61.73610
68.03360
Ramp
68.72790
68.72790
68.03360
56.38190
61.73610
68.03360
Circumferential
Freeway
53.37670
53.37670
74.13610
61.25710
61.73610
74.13610
Circumferential
Parkway
53.37670
53.37670
74.13610
61.25710
61.73610
74.13610
Circumferential
Arterial
68.72790
68.72790
68.03360
56.38190
61.73610
68.03360
*
Area
Type
codes
are
listed
at
the
end
of
this
appendix.
79
San
Antonio
Network
Directional
Split
Factors
­
Mid­
Day
Period
Area
Type*

Functional
Class
1
2
3
4
5
6
Local
Roads
50.00000
50.00000
50.00000
50.00000
50.00000
50.00000
Radial
Freeway
51.85418
51.85418
58.91482
58.91482
56.18798
58.91482
Radial
Parkway
51.85418
51.85418
58.91482
58.91482
56.18798
58.91482
Expressway
51.85418
51.85418
58.91482
58.91482
56.18798
58.91482
Primary
Arterial
Divided
59.80851
59.80851
57.87852
57.87852
56.18798
57.87852
Primary
Arterial
Undivided
59.80851
59.80851
57.87852
57.87852
56.18798
57.87852
Minor
Arterial
Divided
59.80851
59.80851
57.87852
57.87852
56.18798
57.87852
Minor
Arterial
Undivided
59.80851
59.80851
57.87852
57.87852
56.18798
57.87852
Collectors
Divided
59.53949
59.53949
59.53949
59.53949
58.27722
59.53949
Collectors
Undivided
59.53949
59.53949
59.53949
59.53949
58.27722
59.53949
Frontage
Road
59.80851
59.80851
57.87852
54.04745
56.18798
57.87852
Ramp
59.80851
59.80851
57.87852
57.87852
56.18798
57.87852
Circumferential
Freeway
51.85418
51.85418
58.91482
58.91482
56.18798
58.91482
Circumferential
Parkway
51.85418
51.85418
58.91482
58.91482
56.18798
58.91482
Circumferential
Arterial
59.80851
59.80851
57.87852
57.87852
56.18798
57.87852
*
Area
Type
codes
are
listed
at
the
end
of
this
appendix.
80
San
Antonio
Network
Directional
Split
Factors
­
PM
Peak
Period
Area
Type*

Functional
Class
1
2
3
4
5
6
Local
Roads
50.00000
50.00000
50.00000
50.00000
50.00000
50.00000
Radial
Freeway
52.62830
52.62830
69.38360
56.48830
58.00540
69.38360
Radial
Parkway
52.62830
52.62830
69.38360
56.48830
58.00540
69.38360
Expressway
52.62830
52.62830
69.38360
56.48830
58.00540
69.38360
Primary
Arterial
Divided
63.81940
63.81940
60.33020
56.78330
58.00540
60.33020
Primary
Arterial
Undivided
63.81940
63.81940
60.33020
56.78330
58.00540
60.33020
Minor
Arterial
Divided
63.81940
63.81940
60.33020
56.78330
58.00540
60.33020
Minor
Arterial
Undivided
63.81940
63.81940
60.33020
56.78330
58.00540
60.33020
Collectors
Divided
60.07770
60.07770
60.07770
60.07770
57.38310
60.07770
Collectors
Undivided
60.07770
60.07770
60.07770
60.07770
57.38310
60.07770
Frontage
Road
63.81940
63.81940
60.33020
56.78330
58.00540
60.33020
Ramp
63.81940
63.81940
60.33020
56.78330
58.00540
60.33020
Circumferential
Freeway
52.62830
52.62830
69.38360
56.48830
58.00540
69.38360
Circumferential
Parkway
52.62830
52.62830
69.38360
56.48830
58.00540
69.38360
Circumferential
Arterial
63.81940
63.81940
60.33020
56.78330
58.00540
60.33020
*
Area
Type
codes
are
listed
at
the
end
of
this
appendix.
81
San
Antonio
Network
Directional
Split
Factors
­
Overnight
Period
Area
Type*

Functional
Class
1
2
3
4
5
6
Local
Roads
50.00000
50.00000
50.00000
50.00000
50.00000
50.00000
Radial
Freeway
52.89322
52.89322
57.80462
58.35028
60.92629
57.80462
Radial
Parkway
52.89322
52.89322
57.80462
58.35028
60.92629
57.80462
Expressway
52.89322
52.89322
57.80462
58.35028
60.92629
57.80462
Primary
Arterial
Divided
64.07599
64.07599
60.11187
58.87167
60.92629
60.11187
Primary
Arterial
Undivided
64.07599
64.07599
60.11187
58.87167
60.92629
60.11187
Minor
Arterial
Divided
64.07599
64.07599
60.11187
58.87167
60.92629
60.11187
Minor
Arterial
Undivided
64.07599
64.07599
60.11187
58.87167
60.92629
60.11187
Collectors
Divided
63.07224
63.07224
63.07224
63.07224
60.48731
63.07224
Collectors
Undivided
63.07224
63.07224
63.07224
63.07224
60.48731
63.07224
Frontage
Road
64.07599
64.07599
60.11187
58.87167
60.92629
60.11187
Ramp
64.07599
64.07599
60.11187
58.87167
60.92629
60.11187
Circumferential
Freeway
52.89322
52.89322
57.80462
58.35028
60.92629
57.80462
Circumferential
Parkway
52.89322
52.89322
57.80462
58.35028
60.92629
57.80462
Circumferential
Arterial
64.07599
64.07599
60.11187
58.87167
60.92629
60.11187
*
Area
Type
codes
are
listed
at
the
end
of
this
appendix.

San
Antonio
Time­
of­
Day
Travel
Periods
Period
Hours
AM
Peak
7
a.
m.
­
8
a.
m.

Mid­
Day
8
a.
m.
­
5
p.
m.

PM
Peak
5
p.
m.
­
6
p.
m.

Overnight
6
p.
m.
­
7
a.
m.
82
San
Antonio
TDM
Network
Area
Types
Area
Type
Code
Area
Type
Name
1
Central
Business
District
(
CBD)

2
Urban
3
Urban
Residential
4
Suburban
5
Rural
6
Military
84
APPENDIX
D
CAPACITY
FACTORS
AND
SPEED
FACTORS
86
San
Antonio
Network
Capacity
Factors
Area
Type*

Roadway
Type
1
2
3
4
5
6
Local
Roads
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
Radial
Freeway
0.0750
0.0684
0.0693
0.1054
0.1527
0.1054
Radial
Parkway
0.1043
0.0946
0.0959
0.1660
0.2632
0.1660
Expressway
0.0698
0.0777
0.0788
0.0878
0.1333
0.0878
Primary
Arterial
Divided
0.0659
0.0800
0.0915
0.1160
0.1818
0.1160
Primary
Arterial
Undivided
0.0662
0.0809
0.0938
0.1205
0.1859
0.1205
Minor
Arterial
Divided
0.0759
0.0923
0.1136
0.1728
0.2941
0.1728
Minor
Arterial
Undivided
0.0758
0.0924
0.1139
0.1667
0.2813
0.1667
Collectors
Divided
0.0726
0.0856
0.1075
0.1642
0.3194
0.1642
Collectors
Undivided
0.0702
0.0833
0.1047
0.1587
0.3088
0.1587
Frontage
Road
0.0407
0.0444
0.0463
0.0933
0.1364
0.0933
Ramp
0.0638
0.0614
0.0639
0.1191
0.1974
0.1191
Circumferential
Freeway
0.1000
0.0539
0.0564
0.1054
0.1000
0.1054
Circumferential
Parkway
0.1000
0.1000
0.0852
0.1013
0.1039
0.1013
Circumferential
Arterial
0.1000
0.1000
0.0839
0.1115
0.1280
0.1115
*
Area
Type
codes
are
listed
at
the
end
of
this
appendix.
87
San
Antonio
Network
Speed
Factors
Area
Type*

Roadway
Type
1
2
3
4
5
6
Local
Roads
1.00000
1.00000
1.00000
1.00000
1.00000
1.00000
Radial
Freeway
1.70588
1.61111
1.59459
1.42857
1.42000
1.59459
Radial
Parkway
1.61111
1.56757
1.68571
1.39535
1.39216
1.68571
Expressway
1.25000
1.25926
1.25000
1.24324
1.27660
1.25000
Primary
Arterial
Divided
1.25000
1.26087
1.26667
1.24242
1.25000
1.26667
Primary
Arterial
Undivided
1.25000
1.27273
1.25000
1.26471
1.22222
1.25000
Minor
Arterial
Divided
1.27273
1.26316
1.24000
1.26667
1.13636
1.24000
Minor
Arterial
Undivided
1.30000
1.26316
1.24000
1.25000
1.25000
1.24000
Collectors
Divided
1.22222
1.27778
1.26087
1.24000
1.12500
1.25926
Collectors
Undivided
1.25000
1.25000
1.27273
1.24000
1.18421
1.25926
Frontage
Road
1.25000
1.23529
1.26087
1.24000
1.41026
1.24000
Ramp
1.26316
1.25714
1.25714
1.26190
1.20000
1.26190
Circumferential
Freeway
1.00000
1.34884
1.31111
1.25000
1.00000
1.31111
Circumferential
Parkway
1.00000
1.00000
1.22917
1.20000
1.33962
1.11321
Circumferential
Arterial
1.00000
1.00000
1.26190
1.24444
1.26087
1.26190
*
Area
Type
codes
are
listed
at
the
end
of
this
appendix.
88
San
Antonio
TDM
Network
Area
Types
Area
Type
Code
Area
Type
Name
1
Central
Business
District
(
CBD)

2
Urban
3
Urban
Residential
4
Suburban
5
Rural
6
Military
90
APPENDIX
E
VMT
MIX
San
Antonio
MSA
1999
VMT
Mix
 
Weekday
OBS
FC
P_
LDGV
P_
LDGT1
P_
LDGT2
P_
LDGT3
P_
LDGT4
P_
HDGV2B
P_
HDGV_
3
P_
HDGV_
4
P_
HDGV_
5
1
Art
0.6290023
0.0557666
0.1856440
0.0373889
0.0171938
0.0067002
0.0031631
0.0012621
0.0007479
2
Col
0.6072001
0.0564317
0.1878580
0.0387901
0.0178382
0.0100068
0.0047242
0.0018850
0.0011170
3
Fway
0.6129354
0.0497536
0.1656269
0.0312253
0.0143594
0.0061916
0.0029230
0.0011663
0.0006912
OBS
P_
HDGV_
6
P_
HDGV_
7
P_
HDGV8A
P_
HDGV8B
P_
LDDV
P_
LDDT12
P_
HDDV2B
P_
HDDV_
3
P_
HDDV_
4
P_
HDDV_
5
1
0.0023840
0.0007635
0.0004519
0.0001091
0.0017603
0.0004199
0.0074391
0.0033244
0.0017167
0.0012535
2
0.0035606
0.0011403
0.0006749
0.0001629
0.0016994
0.0004249
0.0092483
0.0041329
0.0021342
0.0015583
3
0.0022030
0.0007056
0.0004176
0.0001008
0.0017154
0.0003746
0.0096595
0.0043167
0.0022291
0.0016276
OBS
P_
HDDV_
6
P_
HDDV_
7
P_
HDDV8A
P_
HDDV8B
P_
MC
P_
HDGB
P_
HDDBT
P_
HDDBS
P_
LDDT34
1
0.0054227
0.0032427
0.0048504
0.0225568
0.0010000
0.0011921
0.0017219
0.0024001
0.0011220
2
0.0067414
0.0040313
0.0060300
0.0249436
0.0010000
0.0012406
0.0017920
0.0024978
0.0011354
3
0.0070412
0.0042106
0.0062982
0.0691096
0.0010000
0.0006992
0.0010099
0.0014077
0.0010010
San
Antonio
MSA
1999
VMT
Mix
 
Friday
OBS
FC
P_
LDGV
P_
LDGT1
P_
LDGT2
P_
LDGT3
P_
LDGT4
P_
HDGV2B
P_
HDGV_
3
P_
HDGV_
4
P_
HDGV_
5
1
Art
0.6777393
0.0512406
0.1705772
0.0346307
0.0159254
0.0038187
0.0018028
0.0007193
0.0004263
2
Col
0.6598377
0.0522938
0.1740833
0.0362349
0.0166631
0.0057520
0.0027155
0.0010835
0.0006421
3
Fway
0.6707293
0.0464275
0.1545545
0.0293722
0.0135072
0.0035838
0.0016919
0.0006751
0.0004001
OBS
P_
HDGV_
6
P_
HDGV_
7
P_
HDGV8A
P_
HDGV8B
P_
LDDV
P_
LDDT12
P_
HDDV2B
P_
HDDV_
3
P_
HDDV_
4
P_
HDDV_
5
1
0.0013588
0.0004352
0.0002575
0.0000622
0.0018909
0.0003864
0.0049683
0.0022203
0.0011465
0.0008372
2
0.0020466
0.0006555
0.0003879
0.0000936
0.0018411
0.0003944
0.0062293
0.0027838
0.0014375
0.0010496
3
0.0012752
0.0004084
0.0002417
0.0000583
0.0018714
0.0003501
0.0065517
0.0029279
0.0015119
0.0011039
OBS
P_
HDDV_
6
P_
HDDV_
7
P_
HDDV8A
P_
HDDV8B
P_
MC
P_
HDGB
P_
HDDBT
P_
HDDBS
P_
LDDT34
1
0.0036216
0.0021657
0.0032394
0.0150649
0.0010000
0.0006794
0.0011500
0.0016029
0.0010326
2
0.0045407
0.0027153
0.0040616
0.0168009
0.0010000
0.0007131
0.0012070
0.0016824
0.0010538
3
0.0047758
0.0028559
0.0042718
0.0468745
0.0010000
0.0004047
0.0006850
0.0009548
0.0009356
San
Antonio
MSA
1999
VMT
Mix
 
Saturday
2
9
OBS
FC
P_
LDGV
P_
LDGT1
P_
LDGT2
P_
LDGT3
P_
LDGT4
P_
HDGV2B
P_
HDGV_
3
P_
HDGV_
4
P_
HDGV_
5
1
Art
0.7020505
0.0504038
0.1677915
0.0319885
0.0147103
0.0024051
0.0011354
0.0004530
0.0002685
2
Col
0.6869315
0.0516971
0.1720968
0.0336377
0.0154688
0.0036408
0.0017188
0.0006858
0.0004064
3
Fway
0.7036198
0.0462488
0.1539599
0.0274755
0.0126350
0.0022858
0.0010791
0.0004306
0.0002552
OBS
P_
HDGV_
6
P_
HDGV_
7
P_
HDGV8A
P_
HDGV8B
P_
LDDV
P_
LDDT12
P_
HDDV2B
P_
HDDV_
3
P_
HDDV_
4
P_
HDDV_
5
1
0.0008558
0.0002741
0.0001622
0.0000392
0.0019609
0.0003790
0.0031288
0.0013982
0.0007220
0.0005272
2
0.0012954
0.0004149
0.0002455
0.0000593
0.0019187
0.0003888
0.0039425
0.0017618
0.0009098
0.0006643
3
0.0008133
0.0002605
0.0001542
0.0000372
0.0019653
0.0003478
0.0041783
0.0018672
0.0009642
0.0007040
OBS
P_
HDDV_
6
P_
HDDV_
7
P_
HDDV8A
P_
HDDV8B
P_
MC
P_
HDGB
P_
HDDBT
P_
HDDBS
P_
LDDT34
1
0.0022807
0.0013638
0.0020400
0.0094871
0.0010000
0.0004279
0.0007242
0.0010094
0.0010128
2
0.0028738
0.0017185
0.0025706
0.0106333
0.0010000
0.0004514
0.0007639
0.0010648
0.0010388
3
0.0030457
0.0018213
0.0027243
0.0298939
0.0010000
0.0002581
0.0004368
0.0006089
0.0009293
San
Antonio
MSA
1999
VMT
Mix
 
Sunday
OBS
FC
P_
LDGV
P_
LDGT1
P_
LDGT2
P_
LDGT3
P_
LDGT4
P_
HDGV2B
P_
HDGV_
3
P_
HDGV_
4
P_
HDGV_
5
1
Art
0.6625404
0.0600917
0.2000420
0.0365996
0.0168308
0.0016245
0.0007669
0.0003060
0.0001813
2
Col
0.6482896
0.0616353
0.2051807
0.0384877
0.0176991
0.0024592
0.0011610
0.0004632
0.0002745
3
Fway
0.6721112
0.0558089
0.1857847
0.0318185
0.0146322
0.0015627
0.0007377
0.0002944
0.0001744
OBS
P_
HDGV_
6
P_
HDGV_
7
P_
HDGV8A
P_
HDGV8B
P_
LDDV
P_
LDDT12
P_
HDDV2B
P_
HDDV_
3
P_
HDDV_
4
P_
HDDV_
5
1
0.0005780
0.0001851
0.0001096
0.0000264
0.0018542
0.0004503
0.0021134
0.0009445
0.0004877
0.0003561
2
0.0008750
0.0002802
0.0001659
0.0000400
0.0018144
0.0004619
0.0026632
0.0011901
0.0006146
0.0004487
3
0.0005560
0.0001781
0.0001054
0.0000254
0.0018809
0.0004182
0.0028567
0.0012766
0.0006592
0.0004813
OBS
P_
HDDV_
6
P_
HDDV_
7
P_
HDDV8A
P_
HDDV8B
P_
MC
P_
HDGB
P_
HDDBT
P_
HDDBS
P_
LDDT34
1
0.0015406
0.0009212
0.0013780
0.0064083
0.0010000
0.0002890
0.0004892
0.0006819
0.0012033
2
0.0019413
0.0011609
0.0017364
0.0071828
0.0010000
0.0003049
0.0005160
0.0007193
0.0012342
3
0.0020823
0.0012452
0.0018626
0.0204383
0.0010000
0.0001765
0.0002987
0.0004163
0.0011176
San
Antonio
MSA
2007
VMT
Mix
 
Weekday
OBS
FC
P_
LDGV
P_
LDGT1
P_
LDGT2
P_
LDGT3
P_
LDGT4
P_
HDGV2B
P_
HDGV_
3
P_
HDGV_
4
P_
HDGV_
5
1
Art
0.6072705
0.0569770
0.1896723
0.0387251
0.0178087
0.0072051
0.0034015
0.0013572
0.0008043
9
3
2
Col
0.5875105
0.0591617
0.1969452
0.0415232
0.0190955
0.0085071
0.0040161
0.0016025
0.0009496
3
Fway
0.6027468
0.0515961
0.1717599
0.0326162
0.0149993
0.0068825
0.0032492
0.0012965
0.0007683
OBS
P_
HDGV_
6
P_
HDGV_
7
P_
HDGV8A
P_
HDGV8B
P_
LDDV
P_
LDDT12
P_
HDDV2B
P_
HDDV_
3
P_
HDDV_
4
P_
HDDV_
5
1
0.0025637
0.0008210
0.0004859
0.0001173
0.0006097
0.0000434
0.0099603
0.0044511
0.0022985
0.0016783
2
0.0030269
0.0009694
0.0005737
0.0001385
0.0005899
0.0000451
0.0112687
0.0050358
0.0026005
0.0018987
3
0.0024489
0.0007843
0.0004642
0.0001120
0.0006051
0.0000393
0.0094061
0.0042035
0.0021706
0.0015849
OBS
P_
HDDV_
6
P_
HDDV_
7
P_
HDDV8A
P_
HDDV8B
P_
MC
P_
HDGB
P_
HDDBT
P_
HDDBS
P_
LDDT34
1
0.0072604
0.0043417
0.0064943
0.0281741
0.0010000
0.0004873
0.0016947
0.0030500
0.0012465
2
0.0082141
0.0049120
0.0073473
0.0254421
0.0010000
0.0005897
0.0020509
0.0036911
0.0012943
3
0.0068565
0.0041001
0.0061329
0.0700486
0.0010000
0.0002794
0.0009715
0.0017485
0.0011287
San
Antonio
MSA
2007
VMT
Mix
 
Friday
OBS
FC
P_
LDGV
P_
LDGT1
P_
LDGT2
P_
LDGT3
P_
LDGT4
P_
HDGV2B
P_
HDGV_
3
P_
HDGV_
4
P_
HDGV_
5
1
Art
0.6593832
0.0527567
0.1756233
0.0361451
0.0166222
0.0041382
0.0019536
0.0007795
0.0004619
2
Col
0.6411429
0.0550551
0.1832744
0.0389516
0.0179129
0.0049105
0.0023182
0.0009250
0.0005482
3
Fway
0.6611050
0.0482579
0.1606471
0.0307512
0.0141417
0.0039929
0.0018850
0.0007522
0.0004457
OBS
P_
HDGV_
6
P_
HDGV_
7
P_
HDGV8A
P_
HDGV8B
P_
LDDV
P_
LDDT12
P_
HDDV2B
P_
HDDV_
3
P_
HDDV_
4
P_
HDDV_
5
1
0.0014724
0.0004716
0.0002791
0.0000674
0.0006600
0.0000403
0.0067035
0.0029957
0.0015470
0.0011295
2
0.0017472
0.0005596
0.0003312
0.0000799
0.0006417
0.0000420
0.0076221
0.0034062
0.0017590
0.0012843
3
0.0014207
0.0004550
0.0002693
0.0000650
0.0006617
0.0000369
0.0063946
0.0028576
0.0014757
0.0010775
OBS
P_
HDDV_
6
P_
HDDV_
7
P_
HDDV8A
P_
HDDV8B
P_
MC
P_
HDGB
P_
HDDBT
P_
HDDBS
P_
LDDT34
1
0.0048864
0.0029220
0.0043707
0.0189617
0.0010000
0.0002799
0.0011406
0.0020527
0.0011560
2
0.0055561
0.0033225
0.0049697
0.0172090
0.0010000
0.0003404
0.0013872
0.0024967
0.0012063
3
0.0046612
0.0027874
0.0041693
0.0476209
0.0010000
0.0001621
0.0006605
0.0011887
0.0010574
San
Antonio
MSA
2007
VMT
Mix
 
Saturday
OBS
FC
P_
LDGV
P_
LDGT1
P_
LDGT2
P_
LDGT3
P_
LDGT4
P_
HDGV2B
P_
HDGV_
3
P_
HDGV_
4
P_
HDGV_
5
1
Art
0.6865163
0.0521591
0.1736339
0.0335572
0.0154321
0.0026195
0.0012367
0.0004934
0.0002924
2
Col
0.6693255
0.0545779
0.1816860
0.0362601
0.0166751
0.0031168
0.0014714
0.0005871
0.0003479
3
Fway
0.6942790
0.0481245
0.1602030
0.0287968
0.0132429
0.0025495
0.0012036
0.0004802
0.0002846
9
4
OBS
P_
HDGV_
6
P_
HDGV_
7
P_
HDGV8A
P_
HDGV8B
P_
LDDV
P_
LDDT12
P_
HDDV2B
P_
HDDV_
3
P_
HDDV_
4
P_
HDDV_
5
1
0.0009321
0.0002985
0.0001767
0.0000426
0.0006878
0.0000397
0.0042430
0.0018961
0.0009791
0.0007149
2
0.0011090
0.0003552
0.0002102
0.0000507
0.0006706
0.0000416
0.0048374
0.0021618
0.0011163
0.0008151
3
0.0009071
0.0002905
0.0001719
0.0000415
0.0006956
0.0000366
0.0040825
0.0018244
0.0009421
0.0006879
OBS
P_
HDDV_
6
P_
HDDV_
7
P_
HDDV8A
P_
HDDV8B
P_
MC
P_
HDGB
P_
HDDBT
P_
HDDBS
P_
LDDT34
1
0.0030929
0.0018495
0.0027665
0.0120018
0.0010000
0.0001772
0.0007219
0.0012993
0.0011396
2
0.0035262
0.0021086
0.0031541
0.0109218
0.0010000
0.0002161
0.0008804
0.0015845
0.0011925
3
0.0029759
0.0017796
0.0026619
0.0304029
0.0010000
0.0001035
0.0004217
0.0007589
0.0010515
San
Antonio
MSA
2007
VMT
Mix
 
Sunday
OBS
FC
P_
LDGV
P_
LDGT1
P_
LDGT2
P_
LDGT3
P_
LDGT4
P_
HDGV2B
P_
HDGV_
3
P_
HDGV_
4
P_
HDGV_
5
1
Art
0.6476337
0.0621609
0.2069291
0.0383799
0.0176499
0.0017686
0.0008350
0.0003332
0.0001974
2
Col
0.6297313
0.0648703
0.2159487
0.0413608
0.0190208
0.0020988
0.0009908
0.0003954
0.0002343
3
Fway
0.6617437
0.0579459
0.1928980
0.0332761
0.0153028
0.0017391
0.0008210
0.0003276
0.0001941
OBS
P_
HDGV_
6
P_
HDGV_
7
P_
HDGV8A
P_
HDGV8B
P_
LDDV
P_
LDDT12
P_
HDDV2B
P_
HDDV_
3
P_
HDDV_
4
P_
HDDV_
5
1
0.0006293
0.0002015
0.0001193
0.0000288
0.0006502
0.0000472
0.0028650
0.0012803
0.0006611
0.0004827
2
0.0007468
0.0002392
0.0001415
0.0000342
0.0006322
0.0000492
0.0032577
0.0014558
0.0007518
0.0005489
3
0.0006188
0.0001982
0.0001173
0.0000283
0.0006643
0.0000440
0.0027851
0.0012446
0.0006427
0.0004693
OBS
P_
HDDV_
6
P_
HDDV_
7
P_
HDDV8A
P_
HDDV8B
P_
MC
P_
HDGB
P_
HDDBT
P_
HDDBS
P_
LDDT34
1
0.0020884
0.0012488
0.0018680
0.0081039
0.0010000
0.0001196
0.0004875
0.0008773
0.0013534
2
0.0023746
0.0014200
0.0021240
0.0073550
0.0010000
0.0001455
0.0005929
0.0010671
0.0014124
3
0.0020302
0.0012140
0.0018159
0.0207411
0.0010000
0.0000706
0.0002877
0.0005177
0.0012617
San
Antonio
MSA
2012
VMT
Mix
 
Weekday
OBS
FC
P_
LDGV
P_
LDGT1
P_
LDGT2
P_
LDGT3
P_
LDGT4
P_
HDGV2B
P_
HDGV_
3
P_
HDGV_
4
P_
HDGV_
5
1
Art
0.6073419
0.0548293
0.1918788
0.0387259
0.0178079
0.0072051
0.0034015
0.0013572
0.0008043
2
Col
0.5875795
0.0569317
0.1992363
0.0415241
0.0190946
0.0085071
0.0040161
0.0016025
0.0009496
3
Fway
0.6028176
0.0496513
0.1737581
0.0326168
0.0149987
0.0068825
0.0032492
0.0012965
0.0007683
OBS
P_
HDGV_
6
P_
HDGV_
7
P_
HDGV8A
P_
HDGV8B
P_
LDDV
P_
LDDT12
P_
HDDV2B
P_
HDDV_
3
P_
HDDV_
4
P_
HDDV_
5
1
0.0025637
0.0008210
0.0004859
0.0001173
0.0005383
0.0000000
0.0099603
0.0044511
0.0022985
0.0016783
9
5
2
0.0030269
0.0009694
0.0005737
0.0001385
0.0005208
0.0000000
0.0112687
0.0050358
0.0026005
0.0018987
3
0.0024489
0.0007843
0.0004642
0.0001120
0.0005343
0.0000000
0.0094061
0.0042035
0.0021706
0.0015849
OBS
P_
HDDV_
6
P_
HDDV_
7
P_
HDDV8A
P_
HDDV8B
P_
MC
P_
HDGB
P_
HDDBT
P_
HDDBS
P_
LDDT34
1
0.0072604
0.0043417
0.0064943
0.0281741
0.0010000
0.0002423
0.0016960
0.0032936
0.0012310
2
0.0082141
0.0049120
0.0073473
0.0254421
0.0010000
0.0002933
0.0020526
0.0039859
0.0012782
3
0.0068565
0.0041001
0.0061329
0.0700486
0.0010000
0.0001389
0.0009723
0.0018881
0.0011148
San
Antonio
MSA
2012
VMT
Mix
 
Friday
OBS
FC
P_
LDGV
P_
LDGT1
P_
LDGT2
P_
LDGT3
P_
LDGT4
P_
HDGV2B
P_
HDGV_
3
P_
HDGV_
4
P_
HDGV_
5
1
Art
0.6594446
0.0507669
0.1776621
0.0361450
0.0166211
0.0041381
0.0019536
0.0007795
0.0004619
2
Col
0.6411992
0.0529783
0.1854011
0.0389513
0.0179115
0.0049104
0.0023182
0.0009250
0.0005481
3
Fway
0.6611733
0.0464382
0.1625137
0.0307514
0.0141409
0.0039929
0.0018850
0.0007521
0.0004457
OBS
P_
HDGV_
6
P_
HDGV_
7
P_
HDGV8A
P_
HDGV8B
P_
LDDV
P_
LDDT12
P_
HDDV2B
P_
HDDV_
3
P_
HDDV_
4
P_
HDDV_
5
1
0.0014724
0.0004716
0.0002791
0.0000674
0.0005827
0.0000000
0.0067033
0.0029956
0.0015469
0.0011295
2
0.0017472
0.0005596
0.0003312
0.0000799
0.0005666
0.0000000
0.0076219
0.0034061
0.0017589
0.0012843
3
0.0014207
0.0004550
0.0002693
0.0000650
0.0005842
0.0000000
0.0063945
0.0028576
0.0014756
0.0010775
OBS
P_
HDDV_
6
P_
HDDV_
7
P_
HDDV8A
P_
HDDV8B
P_
MC
P_
HDGB
P_
HDDBT
P_
HDDBS
P_
LDDT34
1
0.0048863
0.0029219
0.0043706
0.0189612
0.0010000
0.0001392
0.0011414
0.0022166
0.0011416
2
0.0055559
0.0033224
0.0049696
0.0172085
0.0010000
0.0001693
0.0013883
0.0026960
0.0011913
3
0.0046612
0.0027873
0.0041693
0.0476202
0.0010000
0.0000806
0.0006610
0.0012836
0.0010443
San
Antonio
MSA
2012
VMT
Mix
 
Saturday
OBS
FC
P_
LDGV
P_
LDGT1
P_
LDGT2
P_
LDGT3
P_
LDGT4
P_
HDGV2B
P_
HDGV_
3
P_
HDGV_
4
P_
HDGV_
5
1
Art
0.6865863
0.0501923
0.1756512
0.0335574
0.0154312
0.0026195
0.0012366
0.0004934
0.0002924
2
Col
0.6693915
0.0525197
0.1837962
0.0362602
0.0166740
0.0031167
0.0014714
0.0005871
0.0003479
3
Fway
0.6943542
0.0463101
0.1620652
0.0287971
0.0132422
0.0025494
0.0012036
0.0004802
0.0002846
OBS
P_
HDGV_
6
P_
HDGV_
7
P_
HDGV8A
P_
HDGV8B
P_
LDDV
P_
LDDT12
P_
HDDV2B
P_
HDDV_
3
P_
HDDV_
4
P_
HDDV_
5
1
0.0009321
0.0002985
0.0001767
0.0000426
0.0006073
0.0000000
0.0042429
0.0018961
0.0009791
0.0007149
2
0.0011090
0.0003552
0.0002102
0.0000507
0.0005921
0.0000000
0.0048373
0.0021617
0.0011163
0.0008151
3
0.0009071
0.0002905
0.0001719
0.0000415
0.0006142
0.0000000
0.0040825
0.0018244
0.0009421
0.0006879
9
6
OBS
P_
HDDV_
6
P_
HDDV_
7
P_
HDDV8A
P_
HDDV8B
P_
MC
P_
HDGB
P_
HDDBT
P_
HDDBS
P_
LDDT34
1
0.0030928
0.0018495
0.0027664
0.0120017
0.0010000
0.0000881
0.0007225
0.0014030
0.0011255
2
0.0035261
0.0021086
0.0031540
0.0109216
0.0010000
0.0001074
0.0008811
0.0017111
0.0011777
3
0.0029759
0.0017795
0.0026618
0.0304026
0.0010000
0.0000515
0.0004220
0.0008195
0.0010384
San
Antonio
MSA
2012
VMT
Mix
 
Sunday
OBS
FC
P_
LDGV
P_
LDGT1
P_
LDGT2
P_
LDGT3
P_
LDGT4
P_
HDGV2B
P_
HDGV_
3
P_
HDGV_
4
P_
HDGV_
5
1
Art
0.6477029
0.0598172
0.2093342
0.0383803
0.0176490
0.0017686
0.0008350
0.0003332
0.0001974
2
Col
0.6297972
0.0624243
0.2184581
0.0413612
0.0190197
0.0020988
0.0009908
0.0003953
0.0002343
3
Fway
0.6618173
0.0557614
0.1951408
0.0332765
0.0153020
0.0017391
0.0008210
0.0003276
0.0001941
OBS
P_
HDGV_
6
P_
HDGV_
7
P_
HDGV8A
P_
HDGV8B
P_
LDDV
P_
LDDT12
P_
HDDV2B
P_
HDDV_
3
P_
HDDV_
4
P_
HDDV_
5
1
0.0006293
0.0002015
0.0001193
0.0000288
0.0005741
0.0000000
0.0028649
0.0012803
0.0006611
0.0004827
2
0.0007468
0.0002392
0.0001415
0.0000342
0.0005582
0.0000000
0.0032576
0.0014558
0.0007518
0.0005489
3
0.0006188
0.0001982
0.0001173
0.0000283
0.0005866
0.0000000
0.0027851
0.0012446
0.0006427
0.0004693
OBS
P_
HDDV_
6
P_
HDDV_
7
P_
HDDV8A
P_
HDDV8B
P_
MC
P_
HDGB
P_
HDDBT
P_
HDDBS
P_
LDDT34
1
0.0020884
0.0012488
0.0018680
0.0081038
0.0010000
0.0000595
0.0004878
0.0009474
0.0013366
2
0.0023746
0.0014200
0.0021240
0.0073549
0.0010000
0.0000723
0.0005934
0.0011523
0.0013949
3
0.0020302
0.0012140
0.0018159
0.0207410
0.0010000
0.0000351
0.0002879
0.0005591
0.0012460
9
7
98
APPENDIX
F
TEMPERATURE,
HUMIDITY,
SUNRISE/
SUNSET
TIME
 
MOBILE6
INPUTS
100
TEMPERATURE,
PERCENT
RELATIVE
HUMIDITY,
SUNRISE,
AND
SUNSET
TIMES
(
TO
NEAREST
HOUR)
Hourly
temperatures
and
hourly
relative
humidity
inputs
start
with
the
6
a.
m.
hour
and
are
from
the
same
calendar
day
(
i.
e.,
order
is
6
a.
m.
to
12
a.
m.
followed
by
12
a.
m.
to
6
a.
m.).
Data
are
in
MOBILE6
input
format.

*
Bexar
climate
data
for
SA/
MSA
(
M6
default
Bar.
Pres.);
Friday
9/
17/
99
(
CDT)
HOURLY
TEMPERATURES:
63.8
63.9
68.9
75.5
80.4
83.2
85.4
87.4
89.1
90.2
91.3
91.1
89.8
86.5
82.3
79.3
77.2
75.5
71.4
69.1
67.5
66.6
65.4
64.5
SUNRISE/
SUNSET:
7
8
BAROMETRIC
PRES:
29.92
RELATIVE
HUMIDITY:
75.0
75.0
63.0
54.0
41.0
35.0
33.0
32.0
28.0
27.0
26.0
27.0
29.0
31.0
35.0
38.0
41.0
52.0
53.0
48.0
53.0
61.0
65.0
70.0
*
Bexar
climate
data
for
SA/
MSA
(
M6
default
Bar.
Pres.);
Saturday
9/
18/
99
(
CDT)
HOURLY
TEMPERATURES:
67.2
67.2
70.8
76.6
80.3
83.0
85.3
86.7
88.1
89.2
90.3
90.1
88.9
86.3
82.7
80.2
78.5
76.3
74.1
72.8
72.2
70.9
69.4
67.9
SUNRISE/
SUNSET:
7
8
BAROMETRIC
PRES:
29.92
RELATIVE
HUMIDITY:
84.0
87.0
74.0
64.0
44.0
37.0
36.0
33.0
32.0
31.0
31.0
32.0
32.0
34.0
34.0
36.0
41.0
47.0
56.0
64.0
71.0
76.0
79.0
82.0
*
Bexar
climate
data
for
SA/
MSA
(
M6
default
Bar.
Pres.);
Sunday
9/
19/
99
(
CDT)
HOURLY
TEMPERATURES:
66.4
66.3
70.4
77.0
80.9
83.8
86.3
88.5
90.4
92.2
93.5
93.2
92.5
88.3
84.1
81.1
78.7
76.8
74.9
73.5
71.9
70.9
69.2
67.7
SUNRISE/
SUNSET:
7
8
BAROMETRIC
PRES:
29.92
RELATIVE
HUMIDITY:
84.0
84.0
69.0
54.0
39.0
36.0
33.0
29.0
30.0
26.0
26.0
27.0
28.0
32.0
35.0
38.0
43.0
47.0
62.0
66.0
69.0
73.0
76.0
79.0
*
Bexar
climate
data
for
SA/
MSA
(
M6
default
Bar.
Pres.);
Monday
9/
20/
99
(
CDT)
HOURLY
TEMPERATURES:
67.8
67.1
72.5
78.8
83.4
87.6
90.7
93.0
94.9
96.5
97.5
97.5
96.0
92.1
89.1
87.6
86.0
83.8
75.0
73.5
71.8
70.2
69.0
68.9
SUNRISE/
SUNSET:
7
8
BAROMETRIC
PRES:
29.92
RELATIVE
HUMIDITY:
78.0
87.0
69.0
61.0
46.0
37.0
32.0
27.0
26.0
25.0
24.0
24.0
27.0
29.0
32.0
32.0
35.0
39.0
54.0
62.0
67.0
71.0
73.0
76.0
102
APPENDIX
G
MOBILE6
REGISTRATIONS
DISTRIBUTIONS
AND
DIESEL
FRACTIONS
INPUTS
104
Registration
Distributions
*
San
Antonio
MSA
­
Bexar,
Comal,
Guadalupe,
and
Wilson
Counties
*
Calculated
from
Mid­
Year
(
July)
2002
Registration
data
*
LDV
1
0.07135
0.08938
0.08968
0.07735
0.06933
0.06588
0.05988
0.06941
0.05871
0.05433
0.04447
0.04189
0.03407
0.03091
0.02503
0.02027
0.01845
0.01590
0.01275
0.00787
0.00550
0.00439
0.00353
0.00460
0.02507
*
LDT1
2
0.07443
0.09358
0.07900
0.06645
0.06143
0.06423
0.04977
0.05758
0.06127
0.04696
0.03865
0.03487
0.02773
0.02841
0.02482
0.01980
0.02518
0.02164
0.01915
0.01222
0.01268
0.01129
0.00673
0.00935
0.05278
*
LDT2
3
0.07443
0.09358
0.07900
0.06645
0.06143
0.06423
0.04977
0.05758
0.06127
0.04696
0.03865
0.03487
0.02773
0.02841
0.02482
0.01980
0.02518
0.02164
0.01915
0.01222
0.01268
0.01129
0.00673
0.00935
0.05278
*
LDT3
4
0.11333
0.14514
0.10770
0.13323
0.05019
0.07680
0.05311
0.05483
0.04096
0.03410
0.02417
0.01819
0.01627
0.01601
0.01331
0.00796
0.01413
0.01305
0.01182
0.00708
0.00727
0.00445
0.00546
0.00673
0.02471
*
LDT4
5
0.11333
0.14514
0.10770
0.13323
0.05019
0.07680
0.05311
0.05483
0.04096
0.03410
0.02417
0.01819
0.01627
0.01601
0.01331
0.00796
0.01413
0.01305
0.01182
0.00708
0.00727
0.00445
0.00546
0.00673
0.02471
*
HDV2
6
0.14791
0.15513
0.09707
0.08581
0.04381
0.06170
0.03035
0.04622
0.03658
0.03376
0.02512
0.02291
0.01527
0.01487
0.01668
0.01085
0.02834
0.02452
0.01608
0.00945
0.01929
0.00844
0.00904
0.00945
0.03135
*
HDV3
7
0.04338
0.09347
0.08318
0.10823
0.03667
0.08184
0.04651
0.07335
0.05769
0.05903
0.03265
0.03399
0.03309
0.02370
0.01834
0.01655
0.01208
0.02057
0.01297
0.00850
0.01342
0.00671
0.00805
0.00984
0.06619
*
HDV4
8
0.05387
0.08325
0.11949
0.12731
0.04603
0.09403
0.08913
0.05583
0.04310
0.03820
0.02351
0.02057
0.02253
0.01469
0.01371
0.01273
0.00392
0.00686
0.01273
0.00588
0.01175
0.00392
0.00881
0.01273
0.07542
*
HDV5
9
0.05772
0.05195
0.12410
0.15004
0.05339
0.04185
0.04185
0.04329
0.02309
0.02165
0.01732
0.01876
0.02020
0.02165
0.02309
0.02597
0.01587
0.03175
0.01443
0.01299
0.03030
0.02309
0.01732
0.02165
0.09668
*
HDV6
10
0.04549
0.08437
0.09391
0.08914
0.09832
0.03999
0.04182
0.07667
0.04072
0.04549
0.02531
0.02788
0.02971
0.02128
0.02201
0.02384
0.02348
0.02531
0.02091
0.01394
0.02201
0.01614
0.00990
0.01614
0.04622
*
HDV7
11
0.03975
0.08020
0.10530
0.07113
0.06555
0.05300
0.04951
0.05718
0.03835
0.04881
0.04045
0.05927
0.04463
0.02999
0.02859
0.02999
0.03138
0.02859
0.02301
0.01813
0.01325
0.00837
0.00628
0.01116
0.01813
*
HDV8A
12
0.05428
0.04737
0.05482
0.05801
0.04311
0.02874
0.03938
0.06919
0.05535
0.05907
0.03459
0.05269
0.04577
0.04843
0.04417
0.04045
0.03938
0.03885
0.02714
0.00958
0.02501
0.01916
0.01384
0.02182
0.02980
*
HDV8B
13
0.02781
0.08217
0.12261
0.09482
0.03919
0.07206
0.06068
0.03919
0.08976
0.09229
0.01391
0.03666
0.01138
0.00759
0.00759
0.00506
0.02655
0.03540
0.04678
0.02528
0.01391
0.03161
0.00632
0.00759
0.00379
*
HDBS
is
MOBILE6
default
*
HDBT
is
MOBILE6
default
*
MC
16
0.14608
0.13659
0.10664
0.08183
0.05739
0.04316
0.04029
0.03574
0.03002
0.02400
0.01908
0.01321
0.01328
0.01468
0.01204
0.01211
0.02385
0.02327
0.01563
0.01930
0.02606
0.01761
0.01563
0.01064
0.06187
1999
Statewide
Diesel
Sales
Fractions
Estimates
Diesel
Fractions:

0.00090
0.00090
0.00090
0.00090
0.00060
0.00010
0.00030
0.00060
0.00130
0.00040
0.00040
0.00010
0.00270
0.00320
0.00970
0.01620
0.02410
0.05100
0.07060
0.03900
0.02690
0.01140
0.00930
0.01370
0.01550
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00070
0.00330
0.00480
0.01200
0.02230
0.06560
0.06160
0.04390
105
0.03160
0.02590
0.00000
0.01870
0.10380
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00070
0.00330
0.00480
0.01200
0.02230
0.06560
0.06160
0.04390
0.03160
0.02590
0.00000
0.01870
0.10380
0.01260
0.01260
0.01260
0.01260
0.01150
0.01110
0.01450
0.01150
0.01290
0.00960
0.00830
0.00720
0.00820
0.01240
0.01350
0.01690
0.02090
0.02560
0.00130
0.00060
0.00110
0.00010
0.00000
0.00000
0.00000
0.01260
0.01260
0.01260
0.01260
0.01150
0.01110
0.01450
0.01150
0.01290
0.00960
0.00830
0.00720
0.00820
0.01240
0.01350
0.01690
0.02090
0.02560
0.00130
0.00060
0.00110
0.00010
0.00000
0.00000
0.00000
0.66232
0.57703
0.47784
0.45121
0.20063
0.39808
0.37552
0.32844
0.35352
0.27226
0.22309
0.17730
0.14483
0.20196
0.17056
0.19074
0.17148
0.14044
0.00323
0.00000
0.00382
0.00303
0.00303
0.00303
0.00303
0.64013
0.51450
0.57439
0.54389
0.32661
0.55020
0.58601
0.62333
0.51890
0.51653
0.46856
0.35294
0.25512
0.29752
0.17664
0.22368
0.21759
0.16066
0.03297
0.01508
0.00373
0.00406
0.00406
0.00406
0.00406
0.63857
0.67967
0.73075
0.66667
0.44671
0.70203
0.69632
0.65581
0.65789
0.57317
0.60350
0.35745
0.24855
0.13542
0.12313
0.18852
0.13253
0.17797
0.14583
0.05000
0.03185
0.01034
0.01034
0.01034
0.01034
0.88016
0.75422
0.72991
0.80476
0.45659
0.67857
0.72535
0.65432
0.70483
0.60383
0.59509
0.41699
0.33654
0.25337
0.30960
0.25418
0.28244
0.20767
0.23790
0.14394
0.12340
0.03350
0.03350
0.03350
0.03350
0.86169
0.81933
0.74312
0.78239
0.54923
0.77170
0.75818
0.57117
0.66954
0.72241
0.69427
0.56318
0.62198
0.54717
0.46968
0.43758
0.40440
0.37461
0.43137
0.18953
0.14992
0.04644
0.04644
0.04644
0.04644
0.88593
0.84672
0.75646
0.81899
0.48829
0.82916
0.84387
0.84789
0.85788
0.83389
0.82784
0.81143
0.81176
0.78571
0.74359
0.73051
0.70909
0.63052
0.70608
0.36715
0.27615
0.20888
0.20888
0.20888
0.20888
0.94685
0.94189
0.86917
0.90694
0.67588
0.96360
0.95187
0.94895
0.93046
0.94083
0.94469
0.95000
0.94092
0.91551
0.91340
0.92834
0.91875
0.91908
0.88970
0.56726
0.56641
0.55152
0.55152
0.55152
0.55152
0.98288
0.98189
0.95390
0.99119
0.78746
0.96058
0.98670
0.96262
1.00000
0.95333
0.97500
0.95238
0.92424
0.92958
0.98969
0.95455
0.97143
0.94286
0.96296
0.40000
0.44444
0.51064
0.51064
0.51064
0.51064
0.95850
0.95850
0.95850
0.95850
0.88570
0.85250
0.87950
0.99000
0.91050
0.87600
0.77100
0.75020
0.73450
0.67330
0.51550
0.38450
0.32380
0.32600
0.26390
0.05940
0.04600
0.02910
0.02400
0.00860
0.00870
*
HDV
fractions
are
estimated
from
TxDOT
registration
data
(
mid­
year
July
2002);
*
LDV,
LDT,
and
Bus
fractions
are
EPA
defaults
106
2007
Statewide
Diesel
Sales
Fractions
Estimates
Diesel
Fractions:

0.00090
0.00090
0.00090
0.00090
0.00090
0.00090
0.00090
0.00090
0.00090
0.00090
0.00090
0.00090
0.00060
0.00010
0.00030
0.00060
0.00130
0.00040
0.00040
0.00010
0.00270
0.00320
0.00970
0.01620
0.02410
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00070
0.00330
0.00480
0.01200
0.02230
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00070
0.00330
0.00480
0.01200
0.02230
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01150
0.01110
0.01450
0.01150
0.01290
0.00960
0.00830
0.00720
0.00820
0.01240
0.01350
0.01690
0.02090
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01150
0.01110
0.01450
0.01150
0.01290
0.00960
0.00830
0.00720
0.00820
0.01240
0.01350
0.01690
0.02090
0.81361
0.81361
0.81361
0.81361
0.81361
0.81361
0.75050
0.61397
0.66232
0.57703
0.47784
0.45121
0.20063
0.39808
0.37552
0.32844
0.35352
0.27226
0.22309
0.17730
0.14483
0.20196
0.17056
0.19074
0.17148
0.68374
0.68374
0.68374
0.68374
0.68374
0.68374
0.64723
0.65615
0.64013
0.51450
0.57439
0.54389
0.32661
0.55020
0.58601
0.62333
0.51890
0.51653
0.46856
0.35294
0.25512
0.29752
0.17664
0.22368
0.21759
0.75174
0.75174
0.75174
0.75174
0.75174
0.75174
0.71334
0.72152
0.63857
0.67967
0.73075
0.66667
0.44671
0.70203
0.69632
0.65581
0.65789
0.57317
0.60350
0.35745
0.24855
0.13542
0.12313
0.18852
0.13253
0.92205
0.92205
0.92205
0.92205
0.92205
0.92205
0.86775
0.89367
0.88016
0.75422
0.72991
0.80476
0.45659
0.67857
0.72535
0.65432
0.70483
0.60383
0.59509
0.41699
0.33654
0.25337
0.30960
0.25418
0.28244
0.92645
0.92645
0.92645
0.92645
0.92645
0.92645
0.87176
0.86671
0.86169
0.81933
0.74312
0.78239
0.54923
0.77170
0.75818
0.57117
0.66954
0.72241
0.69427
0.56318
0.62198
0.54717
0.46968
0.43758
0.40440
0.93134
0.93134
0.93134
0.93134
0.93134
0.93134
0.87037
0.90479
0.88593
0.84672
0.75646
0.81899
0.48829
0.82916
0.84387
0.84789
0.85788
0.83389
0.82784
0.81143
0.81176
0.78571
0.74359
0.73051
0.70909
0.95095
0.95095
0.95095
0.95095
0.95095
0.95095
0.93265
0.93355
0.94685
0.94189
0.86917
0.90694
0.67588
0.96360
0.95187
0.94895
0.93046
0.94083
0.94469
0.95000
0.94092
0.91551
0.91340
0.92834
0.91875
0.98020
0.98020
0.98020
0.98020
0.98020
0.98020
0.98603
0.99167
0.98288
0.98189
0.95390
0.99119
0.78746
0.96058
0.98670
0.96262
1.00000
0.95333
0.97500
0.95238
0.92424
0.92958
0.98969
0.95455
0.97143
0.95850
0.95850
0.95850
0.95850
0.95850
0.95850
0.95850
0.95850
0.95850
0.95850
0.95850
0.95850
0.88570
0.85250
0.87950
0.99000
0.91050
0.87600
0.77100
0.75020
0.73450
0.67330
0.51550
0.38450
0.32380
*
HDV
fractions
are
estimated
from
TxDOT
registration
data
(
mid­
year
July
2002);
*
LDV,
LDT,
and
Bus
fractions
are
EPA
defaults
2012
Statewide
Diesel
Sales
Fractions
Estimates
Diesel
Fractions:

0.00090
0.00090
0.00090
0.00090
0.00090
0.00090
0.00090
0.00090
0.00090
0.00090
0.00090
0.00090
0.00090
0.00090
0.00090
0.00090
0.00090
0.00060
0.00010
0.00030
107
0.00060
0.00130
0.00040
0.00040
0.00010
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01150
0.01110
0.01450
0.01150
0.01290
0.00960
0.00830
0.00720
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01260
0.01150
0.01110
0.01450
0.01150
0.01290
0.00960
0.00830
0.00720
0.81361
0.81361
0.81361
0.81361
0.81361
0.81361
0.81361
0.81361
0.81361
0.81361
0.81361
0.75050
0.61397
0.66232
0.57703
0.47784
0.45121
0.20063
0.39808
0.37552
0.32844
0.35352
0.27226
0.22309
0.17730
0.68374
0.68374
0.68374
0.68374
0.68374
0.68374
0.68374
0.68374
0.68374
0.68374
0.68374
0.64723
0.65615
0.64013
0.51450
0.57439
0.54389
0.32661
0.55020
0.58601
0.62333
0.51890
0.51653
0.46856
0.35294
0.75174
0.75174
0.75174
0.75174
0.75174
0.75174
0.75174
0.75174
0.75174
0.75174
0.75174
0.71334
0.72152
0.63857
0.67967
0.73075
0.66667
0.44671
0.70203
0.69632
0.65581
0.65789
0.57317
0.60350
0.35745
0.92205
0.92205
0.92205
0.92205
0.92205
0.92205
0.92205
0.92205
0.92205
0.92205
0.92205
0.86775
0.89367
0.88016
0.75422
0.72991
0.80476
0.45659
0.67857
0.72535
0.65432
0.70483
0.60383
0.59509
0.41699
0.92645
0.92645
0.92645
0.92645
0.92645
0.92645
0.92645
0.92645
0.92645
0.92645
0.92645
0.87176
0.86671
0.86169
0.81933
0.74312
0.78239
0.54923
0.77170
0.75818
0.57117
0.66954
0.72241
0.69427
0.56318
0.93134
0.93134
0.93134
0.93134
0.93134
0.93134
0.93134
0.93134
0.93134
0.93134
0.93134
0.87037
0.90479
0.88593
0.84672
0.75646
0.81899
0.48829
0.82916
0.84387
0.84789
0.85788
0.83389
0.82784
0.81143
0.95095
0.95095
0.95095
0.95095
0.95095
0.95095
0.95095
0.95095
0.95095
0.95095
0.95095
0.93265
0.93355
0.94685
0.94189
0.86917
0.90694
0.67588
0.96360
0.95187
0.94895
0.93046
0.94083
0.94469
0.95000
0.98020
0.98020
0.98020
0.98020
0.98020
0.98020
0.98020
0.98020
0.98020
0.98020
0.98020
0.98603
0.99167
0.98288
0.98189
0.95390
0.99119
0.78746
0.96058
0.98670
0.96262
1.00000
0.95333
0.97500
0.95238
0.95850
0.95850
0.95850
0.95850
0.95850
0.95850
0.95850
0.95850
0.95850
0.95850
0.95850
0.95850
0.95850
0.95850
0.95850
0.95850
0.95850
0.88570
0.85250
0.87950
0.99000
0.91050
0.87600
0.77100
0.75020
*
HDV
fractions
are
estimated
from
TxDOT
registration
data
(
mid­
year
July
2002);
*
LDV,
LDT,
and
Bus
fractions
are
EPA
defaults