INDIANA DEPARTMENT OF ENVIRONMENTAL MANAGEMENT 

We Protect Hoosiers and Our Environment. 

Mitchell E. Daniels Jr. 100 North Senate Avenue 

Governor Indianapolis, Indiana 46204 

(317) 232-8603 

Thomas W. Easterly Toll Free (800) 451-6027 

Commissioner www.idem.IN.gov 

Ms. Susan Hedman 

Regional Administrator 

U.S. Environmental Protection Agency 

Region 5 

77 West Jackson Boulevard 

Chicago, IL 60604-3950 

Dear Ms. Hedman: 

December 13, 2012 

Re: Request to Parallel Process the Draft 

MOBILE6.2 to MOVES MVEB 

Replacement Update to the Maintenance 

Plan for the Annual Fine Particles Standard 

for Lake and Porter Counties, Indiana 

The Indiana Department of Environmental Management (IDEM) submits the 

enclosed MOBILE6.2 to Motor Vehicle Emissions Simulator (MOVES) Motor Vehicle 

Emissions Budget (MVEB) replacement update to the maintenance plan for the annual 

fine particles standard for Lake and Porter counties, Indiana. The United States 

Environmental Protection Agency (U.S. EPA) approved the Request for Redesignation 

and Maintenance Plan Under the Annual National Ambient Air Quality Standard for Fine 

Particles for the Indiana Portion of the Chicago-Gary-Lake County, /L-IN Nonattainment 

Area submitted by IDEM on May 26, 2011, with an effective date of February 6, 2012. 

IDEM requests that U.S. EPA parallel process this draft MVEB replacement submittal for 

approval into Indiana's State Implementation Plan. 

IDEM is providing an opportunity for a public hearing on the MVEB replacement 

update to the maintenance plan for the annual fine particles standard for Lake and Porter 

counties, Indiana, if a public hearing request is received by January 14, 2012. A hearing 

has been scheduled for January 23, 2013. If a request for a public hearing is not 

received by January 14, 2012, the hearing will be cancelled. IDEM is providing a 36 day 

comment period on this update, with the public comment period ending on January 25, 

2013. The final submittal of the MVEB update for the maintenance plan for the annual 

fine particles standard for Lake and Porter counties, Indiana will document the public 

review process, including a detailed summary of and response to substantive comments. 

Recycled Paper @ An Equal Opportunity Employer Please Recycle 0 
Ms. Hedman 

Page 2 

This MOBILE6.2 to MOVES MVEB replacement update incorporates onroad 

emission estimates and revised MVEBs using U.S. EPA's recently adopted MOVES 

model. The onroad emission estimates were calculated using the MOVES-based 

emission factors and data extracted from the Lake and Porter counties, Indiana, area's 

travel-demand model. 

MVEBs are being revised in anticipation of the mandatory use of the MOVES 

model in future transportation conformity determinations. Preliminary use of the new 

model indicates that emission estimates can be considerably different than similar 

calculations using MOBILE6.2, which was used to create the MVEBs in the original 

annual fine particles maintenance plan. 

Onroad safety margins, established through the interagency consultation process, 

are included for nitrogen oxides (NOx) and fine particulate matter (PM2s). These onroad 

safety margins are allocated to on road emission estimates in order to account for the 

wide array of assumptions that are factored into the calculation process. With the 

addition of on road safety margins applied to mobile sources, the Lake and Porter 

counties, Indiana, annual fine particles maintenance area will continue to remain well 

below the overall safety margins for all sources. MVEBs are also constrained to ensure 

that total NOx and PM2s emissions (i.e., all source categories) do not exceed attainment 

year emissions to ensure continued maintenance of the annual fine particles standard. 

This submittal consists of one (1) hard copy of the required documentation. An 

electronic version of the submittal in PDF format that is identical to the hard copy has 

been sent to Pamela Blakley, Chief of U.S. EPA Region 5's Control Strategies Section. 

IDEM respectfully requests that U.S. EPA proceed with preliminary review of the 

MOBILE6.2 to MOVES MVEB replacement update and revised transportation conformity 

budgets and approval into Indiana's State Implementation Plan for the Lake and Porter 

counties, Indiana, maintenance area under the annual fine particles standard. If you 

have any questions or need additional information, please contact Scott Deloney, Chief, 

Air Programs Branch, at (317) 233-5694. 

Sincerely, 

;~,_/)- eD~r Keith Baugues 

Assistant Commissioner 

Office of Air Quality 

KB/sad/sms 

Enclosures: 

Recycled Paper <!) 

Onroad Emissions MOBILE6.2 to MOVES Replacement Submittal for Lake and 

Porter Counties, Indiana, Maintenance Plan Under the Annual National Ambient 

Air Quality Standard for Fine Particles. 

Electronic MOVES-based modeling input and output data files. 

An Equal Opportunity Employer Please Recycle O 
Ms. Hedman 

Page 3 

cc: Doug Aburano, U.S. EPA Region 5 (w/ enclosures) 

Ed Doty, U.S. EPA Region 5 (w/ enclosures) 

Recycled Paper $ 

John Summerhays, U.S. EPA Region 5 (w/ enclosures) 

Steve Rosenthal, U.S. EPA Region 5 (no enclosures) 

Pamela Blakley, U.S. EPA Region 5 (w/ enclosures) 

Pat Morris, U.S. EPA Region 5 (no enclosures) 

John Swanson, NIRPC (w/ enclosures) 

Bill Brown, NIRPC (w/ enclosures) 

Keith Baugues, IDEM-OAQ (no enclosures) 

Scott Deloney, IDEM (no enclosures) 

Shawn Seals, IDEM (w/ enclosures) 

An Equal Opportunity Employer Please Recycle O 

DRAFT 

Onroad Emissions MOBILE6.2 to 

MOVES Replacement Submittal 

, ........• , 

December 2012 
This page intentionally left blank 
Introduction 

On May 26,2011, the Indiana Department of Environmental Management (IDEM) submitted a 

Request for Redesignation and Maintenance Plan Under the Annual National Ambient Air Quality 

Standard for Fine Particles for the Indiana portion of the Chicago-Gary-Lake County, IL-IN 

nonattainment area The United States Environmental Protection Agency (U.S. EPA) subsequently 

approved the Indiana redesignation of Lake and Porter counties, Indiana, to attainment for the 

annual standard for fine particles with an effective date of February 6, 2012 (76 FR 76302). 

Onroad emissions for the May 26, 2011, submittal were calculated using MOBILE6.2. U.S. EPA 

has encouraged mobile source stakeholders to transition to the neW;:;&iotor Vehicle Emissions 

Simulator (MOVES) model as expeditiously as possible. Ther~f&i'~l';lDEM is providing this 

MOBILE6.2 to MOVES replacement update to the previou~ly[j~~JJ~itted redesignation and 

maintenance plan for the Lake and Porter counties, Indian~;'i@'fi&~1.:{jne patticles standat·d 

maintenance area that incorporates MOVES-based onrp~;~i'H~fu.issi6tt~h:. 

,.):,:,:.·:;:._:. ':.::~ ':::::~:-. 

Emission Inventory ,<:~j~l&~jj)~J};.· 

\;;:;.:::::::;. 

The tables titled, 2008-Lake and Potter Counties, ~~·$\1t~;~ls (T.QQ$per Year):i:B.i;~,Lake and Po1ter 

Counties, IN Totals (Tons per Year), 2.9.?Q.;Lake and P61¥~t:B~~nties, IN Totals ('t():ps per Year), 

and 2025-Lake and Porter Counties, IN'jj'j;'~tf:\l~.(Tons per Y~f~J: were included in Appendix E of the 

original Redesignation Petition and Maifi\~J}l\fi(f (ln. The c0:nsplidated table titled, 2008,2015, 

2020, and 2025 Lake and Potter Counties;~~~gia~a ·. '~1;1- All A'li~JiJ:.gpogenic Sources in Tons Per 

Year (to be considered a re_pJ\\99J11ent ofthe~li;isting gifj)'~l:~t~ 2008~~0:15, 2020, and 2025 tables 

included in Appendix E~g,§i~¥mil~g!Nlove) has~~~~n ::~;i!l,~~a:tg)~R~orp~¥~te updated onroad emission 

estimates for nitrogen i)'ii,;~\!es (NO~)(@g fine partfqJ:!J~t~•fuattei'(B:M2s) for the years 2008, 2015, 

2020, and 2025 and restiR~ls!na diffet~~! overall ~~'f~W margin fo~·the area. It should be noted that 

although sulfur dioxide (SOl)'~wissi~M.!!rx includ~l;ltn the Appendix E tables, consistent with the < ; ::;. ~ • ·- ~- : :-· '•," • ~-" • '· " .-, -. ' \" ••• ~ 

federal · . ·• .. . forj~J~~~p~i'ti&I~~);;~B:1ianatg\l.rs not consider mobile source SOz to be a 

· ·•• ..... pal'iis#~ for thi~'fit~!nt~n'i'illbe area, as mohile source SOz constitutes 

· .. ,, · ailthl'~npgenic eitll§·~ions. As such, SOz emissions are not 

LVIJ.~)•::?V 1s;:Q"o2P, and 2025 Lake and Porter Counties, Indiana, Area -

Per fi\!Jri , 

1 
2020-Lake and Porter Counties, IN Totals (Tons per Year) 

AREA NONROAD ONROAD POINT GRAND TOTAL 

NOx 2,187.09 4,057.84 ~.GG4.e8 27,832.65 ~+,082.~6 

so2 664.67 215.27 n;!-6 38,493.19 ~9,445.89 

Direct PM2.s 21.97 185.11 114 ~2 6,566.86 6,888.~6 

2025-Lake and Porter Counties, IN Totals (Tons per Year) 

AREA NONROAD ONROAD POINT GRAND TOTAL 

NOx 2,148.80 3,349.95 2.~~4.9~~ ~-~··26,980.09 ~5,013.+9 

so2 647.07 175.39 ··· -· . •'· ~ .. ,. ,,, ~· 35,888.27 ~6,+8+ 24 

Direct PM2.s 21.29 140.67 J~ ' ~::::: .. 6 484 75 ~.:,;~~~~ ' . 6,+62.10 •,•;- . _. . -.~ .... -.. 

:.> ......... I - ~ 0 .. 

Sector 2008 NOx 2015 NOx 2020 NOx 2025 NOx 

Area 2,264.46 2,226.21 2,187.09 2,148.80 

Nomoad 6,667.71 4,962. 17 4,057.84 3,349.95 

Onroad · 15,175.43 9,118.33 5,782.93 4,758.55 

Point 39,945.76 28,883.26 27,832.65 26,980.09 

Total 64,053.36 45,189.97 42,528.83 37,237.39 

Sector 2008 PM2.s 2015 PM2.s 2020 PM2.s 2025 PM2.s 

Area 23.60 22.70 21.97 21.29 

Nomo~~ ~-'" -: 363.91 248.01 185.11 140.67 

onroa~r~. : ..= " ~.,. .~ ,, 1,988.84 325.48 198.51 164.12 

~6fi;lf' 6,676.32 6,650.33 6,566.86 6,484.75 

ti>f~l: 9,052.67 7,246.52 7,074.03 6,810.83 .... . ·. •• -•• ·9 ····:·:····· <t_{.; ''{~\ ···=:~~{h-. 

Omoad emisstQh estimates in Hfetable tiit-eH, 2008, 2015, 2020, and 2025 Lake and Porter 

Counties, India~~; ea - All ARtJ~·opogenic Sources in Tons Per Year were calculated using \.•.-..·"·A· ~ "•' 

U.S. EPA's MOVES ~gdel-pr5i~!lped emission factors and data extracted from the area's traveldemand model. The I\1IQ.)'~_§fW del implements a significantly different approach to emissions 

estimation than the prev1~1t1~~del (MOBILE6.2). Preliminary use of the MOVES model 

indicates that emission estitrtiltes can be considerably different than similar calculations using 

MOBILE6.2, which was used to create the original MVEBs for the Lake and Pmter counties, 

Indiana, annual fine patticles standard maintenance area. A general summary of the MOVES 

methodology used in this area can be found in Appendix A. In addition, MOVES input and 

output files are being provided electronically with this submittal. Growth and control strategy 

assumptions for non-mobile sources (i.e. area, nonroad, and point) from the original submittal for 

the years 2008, 2015,2020, and 2025 were developed before the economic challenges ofthe last 

several years. Because of this, the factors included in the original submittal may project more 

growth than will actually occur in the future. As a result, the growth and control strategy 

2 
assumptions for the non-mobile sources for the years 2008, 2015, 2020, and 2025 continue to be 

valid and do not affect the overall conclusions of the plan. 

Onroad safety margins have been included for onroad emission estimates to accommodate the 

wide array of assumptions that are factored into the calculation process. Since assumptions 

change over time, it is necessary to have an onroad safety margin that will accommodate the 

impact of refined assumptions in the process. The plan continues to meet all applicable Clean 

Air Act (CAA) requirements as the revised emission inventories clearly illustrate that total NOx 

and PM2.5 emissions in the Lake and Porter counties, Indiana, annual fine patticles standard 

maintenance area will continue to decline leading to local redl\1\tiQns between 2008 (base year) 

and 2015 (maintenance plan interim budget year), as well a~AQQ)l'(base year) and 2025 

(maintenance plan horizon budget year). ,:::~:::tz£g:' 

,~::]1~1~~-~~)j~~lj~:;.~:.;;~:;:::~~\" ,,, 

~~::s:.~r:::~:c~:dn:::::~::g~;~he origiqa(t@~~~;~:ation ·~~~i~l~~@p Maintenance Plan 'c'"'····>'~'·Y ·c.•f/",•, 

for the Lake and Potter counties, Indiana, annmiFfihe particles standard malntenance area. Table 

5.1- A (to be considered a replacement ofT able s':~'~tf:J:~s bee9l~:¥ised to int5t~l)~ate U.S. EPA's 

MOVES model-produced emission .... and data ex(f~9t~~::j;f:i)m the region's'•tf-~}:el-demand 

model. Through the interagency · ·· ifWi!S:''ctetermined that including Chicago 

Area emissions in this replacement nece~Wt&:,.f!ue to U.S. EPA's designation of 

attainment separately for Lake and ef.fe~tiY.e February 6, 2012. 

Direct 

Direct 

Lake and Porter Counties, 

IN subtotal% 

187.09 

10,703.81 

3 

•' ' "<:::::.~~~tf:::.. 

<:~~~~~) 

136.61 132.15 

5,723.67 5,179.87 

29,102.00 23,687.00 

114.32 115.39 

3,004.68 2,534.95 
Table 5.1- A 

Emission Estimates for On-Road Mobile Sources 

(MOVES-based Onroad Emissions) 

Lake and Porter Counties, 2008 2015 2020 Indiana 2025 

NOx (tons/year) 15,175.43 9,118.33 5,782.93 4,758.55 

PM2.s (tons/year) I ,988.84 325.48 198.5 1 164.12 

• ?. ....-;;·:. 

,: . •'< •. 

Table 5.2 was included on Page 35 ofthe original Redesignatioi't.:Petition and Maintenance Plan .•/.•)(·::.i:::Y 

for the Lake and P~rter counties, Indiana, annual fine pat~~i ~~~}~V.W.dard m.aintenance area. Table 

5.2- A (to be considered a replacement of Table 5.2) ha ~$~n i'e ~~d to mcorporate MVEBs 

calculated using U.S. EPA's MOVES model-produ tf4.: ~mission f~fc(9):~. and data extracted from 

the region's travel-demand model as detailed in J;~bfk= 1- A. Througft t4~ interagency 

consultation process, it was determined that suh1fiWiing the previous inlelUJ.,,budget year of2015 

with a revised interim budget year of2015 was 'jjt_li~:~asonable d approp t~_for transp01tation 

conformity demonstrations moving forward. .;;:}::.. . .. {:f:::.. -.;d~::~~-. "'~:::::. ..::;:,~!:::::·: V' ,~~~7.:· .·'•f.:• ·>.·:=~·. ···~~-..:·~.~·. ··:;f.~~: ;;s:t::::~:-~~ ~::::;:;~~::~::~:· .. ·~:·;) <~·:,~,,~·~·· ··:·:-:·:·: ... :··· ~:!•:·:··~·:······:·,Table 5 2 ····:·:<:·:,v ·~::;w:~:::=::. ... . '.;;:~:::::~ 

Motor Vehicle Emissi !fa~$- /or Laic<~!~ Porter Counties 

(MOBILEG :~basetl {)' r.oad EniiS~tons) ·:~~l~: , ·. ·.::·:~tt~~:: ::;.. '·<ib·~ 

A~:::·~· 

~ ~.·~:-. 0 ".J.- •• 

:::~W.Ox (tons(y~~ r) 

:PM.h (to~§JY,:ear) -:·:~-'· .«~;.:,·.:~ ··:~~.-=-~! .. t:O.~(~.r 

v~:;::~''l-' 

·~o/ 

. ,, .. .. 

2016 2025 

2,915.19 

•, . .;··: 

2015 2025 

10,486.08 5,472.34 

374.30 188.73 

Through the interagency consultation process, it was determined that a revised maintenance plan 

interim budget year of 2015 and a horizon budget year of 2025, would be appropriate. The 

interagency consultation group approved onroad margins of safety of fifteen percent ( 15%) for 

both NOx and PM2.5 omoad emission estimates for the years 2015 and 2025. A summary ofthis 

interagency consultation discussion can be found in Appendix B. These revised emission 

inventories clearly illustrate that omoad NOx and PM2.5 emissions in the Lake and Porter counties, 

Indiana, mmual fine particles standard maintenance area will continue to decline leading to local 

reductions between 2008 (base year) and 2015 (revised maintenance plan interim budget year), as 

well as 2008 (base year) and 2025 (maintenance plan horizon budget year). 

4 
Furthermore, when compared to the overall safety margin as defined in the Code ofF ederal 

Regulations (CFR) at 40 CFR 93.101, it is evident the onroad safety margin allocation is 

reasonable and appropriate. More specifically, even with the allocation of an onroad safety margin 

to mobile sources, emissions will continue to remain well below the overall safety margin for all 

sources as detailed in the table titled, 2008, 2015, 2020, and 2025 Lake and Porter Counties, 

Indiana, Area- All Anthropogenic Sources in Tons Per Year. MVEBs are constrained to ensure 

that the total emissions (i.e., all source categories) do not exceed the 2008 attainment year 

emissions of either NO, or PM25, thereby ensuring continued maintenance of the annual fine 

particles standard. 

Conclusion 

/:::::::::~;~~:;;:~~;:, 

This MOBILE6.2 to MOVES replacement update to the,P:t~xroi'@ysubmitted Request for 

Redesignation and Maintenance Plan Under the Annuqf'Ntitional~ntkient Air Quality Standard 

for Fine Particles for the Indiana portion of the ClJJ!)~g~'\.Gary-LakeG§1JJ1ty, IL-IN nonattainment 

area incorporates onroad emission estimates am,l,:~X~Vfsed MVEB using'Ui$,. EPA's recently 

adopted MOVES model. MVEBs have been re'VI~~i.lin anticipation ofthe'rt\,i)Jldatory use of the 

MOVES model in future transportation conformit)iiq~~t:!rminatjQJ,}~. The onroa~~Jnission estimates 

were calculated using the MOVES-bas~qemission faH9t§!l!JQgata extracted fr&i\1,1).e area's 

travel-demand model. Onroad safety'\)i~gjp§for NO, ari~)%'@~·. , established tlu:oilgh the 

interagency consultation process, are irlb)\l.il~Q; in:9rder to a&pl;mt for the wide array of 

assumptions that are factored into the calii#j;Jti8i'i p)\~~~ss. MV$~~ .. are also constrained to ensure 

that total NOx and PM2.s emi.s~ions (i.e., afi~\)wce.2ii't~g(lrjes) do'h&t:~xceed attainment year 

(2008) emissions to enstg~~g~btJli:\.l~d maint~~@ce oft4~~t!<tl fi~ii'ptirticles standard. With the 

addition ofMOVES-bl(~~~ 8irroail ~#!:]ty margi#~:1!PPH~H to'ffig~U" sources, the Lake and Pmter 

counties, Indiana, annliii!Mne pmtidMi~tandard $~!fit'enance areii'\vill continue to remain well 

below the overall safety ITllifihvs for.:~\f~ources inlq~J;!.e future. As such, the mmual fine particles 

ahq'l,Jqx!#Sil@~\~s, Indiai'l~, continues to meet all applicable CAA "", n/.,< ·• ' "<•,<,<•' • • '•::::;:::;;) 

··:::;j]jl:i~k::;-

5 

Appendix A 

Lake and Porter Counties, Indiana, 

Maintenance Area MOVES 

Methodology 
This page left intentionally blank 
Lake and Porter Counties 

MOVES2010a Input Data and 

Parameters 

INDOT Planning Contract 

Final Report 

October 2, 2012 

CDMth Sm1 
Table of Contents 

Overview .............................................................................................................................. 1 

Vehicle Age Distribution ....................................................................................................... 1 

Vehicle Population ................................................................................................................ 2 

Meteorological Data .............................................................................................................. 4 

Default VMT Distributions ..................................................................................................... 4 

Default Hourly Distributions .................................................................................................. 5 

Default Daily and Monthly Distributions ................................................................................ 6 

Ramp Fractions .................................................................................................................... 6 

LIST OF TABLES 

Table 1: MOVES2010a Source Type Codes ............................................................................. 1 

Table 2: MOVES2010a Road Type Codes ................................................................................ 1 

Table 3: Distribution of MOBILE 6.2 Light Duty Trucks into MOVES Source Types ................... 3 

Table 4: Inventory of Permanent Count Stations ....................................................................... 5 

LIST OF APPENDICES 

Appendix A- MOVES2010a Input Settings and Assumptions 

Appendix B- Vehicle Age Distributions for Lake and Porter Counties 

Appendix C- Vehicle Populations for Lake and Porter Counties 

Appendix D- Meteorological Data for Lake and Porter Counties 

Appendix E- Default Statewide Factors 

Appendix F- Statewide Default Hourly Distribution Factors 

Appendix G- Statewide Default Daily Distribution Factors 

Appendix H- Statewide Default Monthly Distribution Factors 

Appendix I - Ramp Fractions 
Overview: 

This report is being written to document the input parameters for a set of MOVES201 Oa 

runs for the Lake and Porter Counties 8-hour Ozone Maintenance Area and the Lake 

and Porter Counties PM 2.5 non-attainment area. This report contains a discussion on 

the intended input settings used in MOVES2010a and the development of the input 

data sets. These MOVES201 Oa runs are intended to develop a default set of emission 

rates that can be used for conformity determination and is part of a statewide effort being 

conducted by the Indiana Department of Transportation (INDOT}. 

Throughout this report references are made to MOVES 2010a codes for two types of 

data. The values for the source type codes are shown in Table 1. The values for the 

road type codes are shown in Table 2. MOVES2010a input settings and assumptions for 

this effort are shown in Appendix A. 

Table 1: MOVES201 Oa Source Type Codes 

sourcetypeid Description 

11 Motorcycles 

21 Passenger Car 

31 Passenger Truck 

32 light Commercial Truck 

41 Intercity Bus 

42 Transit Bus 

43 School Bus 

51 Refuse Truck 

52 Single Unit Short-haul Truck 

53 Single Unit Long-haul Truck 

54 Motor Home 

61 Combination Short-haul Truck 

62 Combination Long-haul Truck 

Table 2: MOVES2010a Road Type Codes 

roadtypeid 

Vehicle Age Distribution: 

1 

2 

3 

4 

5 

Description 

Off Network 

Rural Restricted Access 

Rural Unrestricted Access 

Urban Restricted Access 

Urban Unrestricted Access 

The vehicle age distributions for MOVES source types 21, 31, and 32 (cars, passenger 

trucks, and light commercial vehicles respectively) were developed through an analysis 

of Indiana's 2009 vehicle registration data. The analysis was performed by Eastern 

Research Group (ERG) under contract to the Lake Michigan Air Directors Consortium 

(LADCO). ERG was provided with vehicle identification numbers (VIN) for vehicles in 

Indiana. 
There were approximately 6.37 million VINs in the statewide data set. Out of these, 

approximately 1.3 million returned errors. Of these, approximately 200,000 errors were 

deemed non-critical. This means that the model year and vehicle type assigned to the 

records were most likely correct despite there being an error in the VIN decoding. These 

records were included in ERG's analysis. The remaining errors were considered critical 

enough to call into question the accuracy of the model year and vehicle types. These 

critical errors were excluded from ERG's analysis. 

In all, approximately 5.2 million VINs from around the state were used in the analysis. 

Each VIN was associated to a specific county. ERG then developed age distributions for 

each county in the state along with seven combination areas comprised of two or more 

counties each. Additional information on the methodology used to develop the vehicle 

age distributions can be found in a May 28, 2010 report written by ERG for LADCO titled 

MOBILE6 and MOVES Registration Distribution Calculations for Indiana Registration 

Data. Each set of age distributions was provided in both MOBILE6 and MOVES formats. 

The MOVES formatted data will be used for these MOVES201 Oa runs. 

Due to limitations in ERG's VIN decoder, it was not possible to develop vehicle age 

distributions for any source types other than 21, 31, and 32 from the vehicle registration 

data. For all other source types, MOVES2010a default vehicle age distributions specific 

to each source types were used. This includes motorcycles and all heavy vehicles. 

Vehicle age distributions for all source types were kept constant for all future years. The 

vehicle age distributions for Lake and Porter Counties as a combined area are shown in 

Appendix B of this report. 

Vehicle Population: 

The vehicle populations for source types 21, 31, and 32 were developed directly from 

the vehicle registration data. All valid records that were identified from the vehicle 

registration data set were used to determine the number of vehicles for each of these 

three source types. The VIN decoded data provided to INDOT contained vehicle types 

according to MOBILE6.2 vehicle categories. There is a direct correlation between 

MOVES source type 21 (cars) and the MOBILE6.2 vehicle type LDV. All valid LDV 

records (those records not excluded from the vehicle age distribution analysis due to 

errors as was described in the section on Vehicle Age Distribution in this report) were 

counted in the vehicle population. 

There is not a direct correlation between MOVES source types 31 (passenger trucks) 

and 32 (light commercial vehicles) and the MOBILE6.2 light truck vehicle types (LDT1, 

LDT2, LDT3, and LDT 4). All valid records from the vehicle registration data set for 

MOBILE6.2 light duty trucks were counted in the vehicle populations. The light duty 

trucks were distributed between MOVES source types 31 and 32 as per the 

Environmental Protection Agency's (EPA) guidance documented in Table A.1 of the 

appendix of the Technical Guidance on the Use of MOVES2010 for Emission Inventory 

Preparation in State Implementation Plans and Transportation Conformity. The guidance 

provides two sets of factors for distributing MOBILE6.2 light trucks between MOVES 

source types 31 and 32. These are based on fuel type and are shown in Table 3. 

2 
Table 3: Distribution of MOBILES 2 Light Duty Trucks into MOVES Source Types 

Source Types 

Fuel 31 32 

Gas 78% 22% 

Diesel 42% 58% 

As per ERG's assumption documented in MOBILE6 and MOVES Registration 

Distribution Calculations for Indiana Registration Data, all light duty trucks that did not 

have a fuel type identified were counted as diesel trucks. This was to prevent an 

underestimation of diesel trucks and their related emissions. 

Since only valid records from the vehicle registration data were used to calculate vehicle 

populations for source types 21, 31, and 32, it is reasonable to assume that some of the 

erroneous records that were discarded from the analysis actually belonged to these 

source types. The nature of these errors is not that the vehicle does not exist. Rather, it 

is that the vehicle could not be properly identified with any sense of certainty. It was 

therefore necessary to adjust the vehicle populations calculated from vehicle registration 

data to compensate for these discarded records. Based on an analysis of the error rate 

reported by ERG, vehicle populations for source types 21, 31, and 32 were increased by 

5. 8 percent. 

Vehicle populations were not able to be developed directly from the vehicle registration 

data for some source types. This was due to the limitations in the VIN decoder used by 

ERG to process the vehicle registration data. Vehicle populations for all other source 

types (motorcycles and heavy vehicles) were derived by applying the Mileage 

Accumulation Rate (MAR) method documented in EPA's Technical Guidance on the Use 

of MOVES2010 for Emission lnventorv Preparation in State Implementation Plans and 

Transportation Conformity, Section 3.3 Source Type Population. 

The default MARs were extracted from MOVES by running MOVES for a single pollutant 

and a single year for all vehicles, fuels, months, days, and hours. The activity output was 

set to report both distance and population. A ratio of population to vehicle-miles-traveled 

(VMT) was calculated from these outputs. The ratios were calculated for each source 

type. 

The Northwestern Indiana Regional Planning Commission (NIRPC), which is the 

metropolitan planning organization (MPO) for Lake and Porter Counties, provided VMT 

by MOVES road types extracted from their travel demand model's base year. Since the 

default MARs in MOVES vary by year (but not by location), the MOVES run that was 

executed to extract the MARs was run for a year consistent with the travel demand 

model's base year. This resulted in MARs that could be applied directly to the validated 

VMTs reported by the travel demand model. The travel demand model VMTs were 

converted into annual VMT and distributed by vehicle types using statewide default VMT 

distribution factors documented in this report in the section on Default VMT Distributions. 

The MARs were then applied to the annual vehicle type VMTs. The result was an 

estimated vehicle population for each source type for the travel demand model's base 

year. Since the vehicle populations for source types 21, 31, and 32 were developed 

directly from the vehicle registration data, the population estimates derived for those 

3 
source types using the MAR method were discarded and the observed data were used 

instead. 

Future year vehicle populations were developed base on socioeconomic growth rates for 

the maintenance area. The MPO provided base year and horizon year population and 

employment data for the area. Annual growth rates were calculated for population 

growth and employment growth individually. Population growth rates were then used to 

grow the light vehicle populations (source types 11, 21, 31, and 32). Employment growth 

rates were used to grow the heavy vehicle populations (source types 41, 42, 43, 51, 52, 

53, 54, 61, and 62). Vehicle populations were calculated for every year from 2008 to 

2040. These vehicle populations for Lake and Porter Counties as a combined area are 

shown in Appendix C. 

Meteorological Data: 

The default set of hourly temperatures and hourly relative humidity was developed using 

EPA's data converters for changing MOBILE6.2 minimum I maximum temperatures and 

absolute humidity to the MOVES equivalent formats. The values for the MOBILE6.2 

inputs were taken from the Air Quality Conformity Determination Between the 2040 

Regional Transportation Plan, the Fiscal Year 2012 to 2015 Transportation Improvement 

Program, and the Indiana State Implementation Plan for Air Quality, Appendix E, 

developed by NIRPC in June, 2011. 

Meteorological data reflect average annual conditions for the PM 2.5 runs. The 

MOBILE6.2 meteorological input data for each of the twelve months of the years were 

averaged together to create average annual temperatures and humidity. These were 

then passed through the data converters. The data reflect summer conditions for ozone 

using MOBILE6.2 inputs for July. The MOVES formatted meteorological data for Lake 

and Porter Counties as a combined area are presented in Appendix D of this report. 

Default VMT Distributions: 

As part of this effort, INDOT developed a default set of VMT distribution factors by 

Highway Performance Monitoring System (HPMS) vehicle type and by MOVES road 

type. These distribution factors were developed by analyzing four consecutive years of 

continuous traffic count data ending in 2010 for twenty permanent traffic count stations 

throughout Indiana. The stations were selected to provide a spread of locations 

corresponding to each of the four MOVES road types. Furthermore, these stations were 

selected from among sites that were concentrated in nonattainment and maintenance 

areas. In some cases, data from the requested site were either partially or completely 

unavailable. An inventory of the sites used to develop the distributions is shown in Table 

4. 

The vehicle counts reported at each station were provided by vehicle class. These were 

aggregated into the six basic HPMS vehicle types: motorcycle, passenger car, light 

truck, bus, single-unit heavy truck, and combination heavy truck. The distribution of VMT 

by vehicle type was calculated for each road type by taking each vehicle type's 

percentage of total traffic. These default statewide factors are shown in Appendix E. 

4 
Table 4 Inventory of Permanent Count Stations 

SiteiD City County Location Road 

Type Data Quality 

3000 MUNCIE DELAWARE 

HAMILTON 

MARION 

LAKE 

LAPORTE 

SR 332 RM 0.5 3 Closed since 9/26/2006. No 

data. 

3200 CARMEL US 31 RM 125.7 5 Good 

3300 INDY WEST 1465 MM 10.0 4 Closed since 9/1/10 

4000 GARY I 80 /I 94 MM 6.0 4 Only 2010 data passed QC 

4500 LAPORTE SR2 RM 65.2 3 Good 

5600 SELLERSBURG CLARK 165 MM 8.0 4 

2 

Bad sensors. Not usable. 

6100 EVANSVILLE GIBSON 164 MM27.9 Good 

0105 TERRE HAUTE VIGO US 41 RM 104.2 3 Good-closed 

5/13/09 

11/13/08-

0201 

0210 

0303 

0327 

0403 

0501 

0502 

0507 

0602 

MIDDLEBURY 

FORT WAYNE 

MUNCIE 

DALEVILLE 

SOUTH BEND 

INDY SOUTH 

MARTINSVILLE 

SEYMOUR 

HAZLETON 

ELKHART 

ALLEN 

DELAWARE 

DELAWARE 

ST. JOSEPH 

MARION 

MORGAN 

JACKSON 

GIBSON 

SR 120 RM 13.9 3 

1-69 0.53 mi N of 4 SR3 

US 35 RM 44.5 5 

169MM31.4 2 

US 20RM 77.1 4 

SR 37 RM 143.5 5 

SR 67 RM 80.6 3 

165 MM 47.0 2 

SR 56 RM0.6 3 

Good- closed 8/3/1 0-12/6/1 0 

Good 

Good 

Good-built in 12/1 0/2007 

Good 

Good-closed 5/22/09-6/1/09 

Good 

Good 

Good 

0603 DUBOIS DUBOIS SR 56 RM 53.3 3 

5 

4 

Good- closed 1 0/16/08-

3/20/09 

0608 EVANSVILLE VANDERBURGH SR 66 RM 23.5 Good 

1315 I 70 MARION I 70 MM 83.5 Closed 5/17/06-3/24/08 

Default Hourly Distributions: 

The same set of twenty permanent traffic count locations discussed in the section on 

Default VMT Distributions was analyzed to develop a set of hourly distribution factors. 

These factors were calculated by road type, by HPMS vehicle type. Hourly factors were 

only calculated for the average weekday. The hourly distribution pattern for each traffic 

count location was reviewed. Any data that appeared to reflect either an error in the data 

or an outlier of behavior were removed to prevent bias in the data. The following data 

were excluded from the analysis: 

• Bus data from count stations 0105 and 0603 were excluded due to abnormal 

midnight peaks in the data; 

• An abnormal relationship between passenger cars and light duty trucks at count 

station 4500 prompted the exclusion of all data from this location due to 

questions of reliability; 

• Peak spreading behavior observed at count station 4000 from traffic related to 

Chicago was considered to be too unique to be included in a default statewide 

data set; and, 

• Combination truck traffic from station 3200 was excluded due to too much 

overnight traffic when compared to other vehicles and other stations. 

5 
Furthermore, traffic patterns reported by those count stations corresponding to road type 

3 (3000, 4500, 0105, 0201, 0502, 0602, and 0603) had a tendency to over represent 

long distance travel. This was most likely the result of statewide permanent count 

stations focusing primarily on higher order facilities. Rural collectors and local streets are 

less likely to reflect long distance travel. The hourly distributions for road type 3 (rural 

unrestricted access) were adjusted to better account for traffic behavior on lower order 

facilities in rural areas. A sample of traffic count data from Morgan County, IN was used 

to introduce more local traffic behavior in the road type 3 hourly distributions. An analysis 

of the Morgan County data showed a pattern more consistent with AM and PM peaking 

characteristics reflecting local commuting traffic on collectors and local streets for 

passenger cars and light duty trucks. The Morgan County data for passenger cars and 

light duty trucks on collectors and local streets were weighted and added to the road 

type 3 data set. This analysis assumed that rural collectors and local streets accounted 

for 20 percent of all VMT for road type 3. 

The statewide default hourly distribution factors are presented in Appendix F. 

Default Daily and Monthly Distributions: 

Default daily and monthly distribution factors were calculated from IN DOT's official count 

adjustment factors which are more commonly used to develop AADT from raw traffic 

counts. These factors are based on the set of daily traffic counts collected from all 

permanent count stations throughout the state. The daily distribution factors determine 

what percentage of VMT is occurring on weekdays and what percentage is occurring on 

weekends. The monthly distribution factors determine what percentage of annual VMT is 

occurring in each month of the year. The statewide default daily distribution factors are 

shown in Appendix G. The statewide default monthly distribution factors are shown in 

Appendix H. 

Ramp Fractions: 

The ramp fractions represent the percentage of vehicle-hours-traveled (VHT) for road 

types 2 (rural restricted access) and 4 (urban restricted access) occurring on the ramps 

associated with those road types. These fractions were calculated based on the 

percentage of VHT occurring on ramps reported by the base year travel demand model. 

These ramp fractions are reported in Appendix I. 

6 
Appendix A 

Number of Runs: 

Input Item Ozone PM 2.5 

Years 2006, 2010, 2008, 2010, 

2015,2020, 2015, 2020, 

2025,2030, 2025,2030, 

2035,2040 2035,2040 

Pollutants/ Volatile PM 2.5 with all 

Processes Organic subspecies; 

Compound NOx 

(VOC), NOx, 

and supporting 

Meteorology Summer Average 

Annual 

#of MOVES 8 8 

runs 
General Parameters: 

MOVES Input Item 

Screen Ozone PM 2.5 

Description Description User Choice 

Scale Domain/Scale County 

Calculation Type Emission Rate 

Time Spans Time Hour Hour 

Aggregation 

Level 

Year 2004, 2010, 2008, 2010, 

2015, 2020, 2015, 2020, 

2025, 2030, 2025, 2030, 

2035,2040 2035,2040 

Months July April 

Days Weekday Weekday 

Hours Select All Select All 

Geographic Geographic Lake County* Lake County* 

Bounds Bounds 

Vehicles Vehicles All Gas and Diesel Combinations 

Road Type Road Type Select All 

Pollutants/ Pollutants/ VOC, NOx, and PM 2.5 with all 

Processes Processes supporting subspecies; NOx 

General Database Name LakePorter LakePorter PM 

Output Ozone 

Units Select "Grams" and "Miles" and 

"Million BTU" 

Activity Distance, Population 

Output On Road Select "Source Use Type" and "Road 

Emissions Type" 

Detail 

*Represents both Lake and Porter Counties. 
C t 0 t M • 

County Data Excel Sheet Tab 

Manager Input Name 

Ozone PM 2.5 

Source (Vehicle) source Type Year Local Registration for Source Types 21, 31 , and 32; 

Type Population Estimated population using default MOVES mileage 

accumulation rates and local VMT for all other source types. 

Future year vehicle populations based on population growth 

rates for source types 11 , 21, 31, and 32. Employment 

growth used for all other source types. 

Vehicle Type HPMSVTypeYear Statewide default vehicle distributions across road types 

VMT (by 13 developed by IN DOT using an analysis of permanent count 

MOVES Vehicle station data from a statewide data set. 

Types) 

MonthVMTFraction Statewide default monthly fractions developed by INDOT 

using an analysis of permanent count station data from a 

statewide data set. 

DayVMTFraction Statewide default daily fractions developed by IN DOT using 

an analysis of permanent count station data from a 

statewide data set. 

HourVMTFraction Statewide default hourly fractions developed by IN DOT 

using an analysis of permanent count station data from a 

statewide data set. 

Average Speed avgSpeed National defaults. 

Distribution (% Distribution 

of VHT in each 5 

mph speed bin) 

Road Type roadType Calculated from local VMT data. Use travel demand model 

Distribution Distribution base year distributions for all years. 

(VMT by 5 

MOVES Road 

Types) 

Age Distribution sourceTypeAge Local age distributions developed from vehicle registration 

(Vehicle Distribution data for source types 21, 31 , and 32. Default MOVES age 

Population by distributions for all other source types. 

Age of Vehicle) 

Ramp Fraction RoadType Based on local travel demand model. 

Meteorology ZoneMonthHour MOBILE6 Summer Met Data MOBILE6 12 month Met 

Data Converted to MOVES format Data Converted to MOVES 

format and averaged to 

annual meteorology 

Fuel(% of FueiFormulation MOVES Defaults 

Market Share by FueiSupply Lake County MOVES Lake County MOVES Fuel Type) Defaults for Summer (check Defaults for annual (check if 

if varies among counties) varies among counties) 

1/M Program IMCoverage Consistent with current locaii/M Program 
Appendix B 

Vehicle Aoe Distributions for Lake an dP otter Counties: 

Source Types 

aaeid 11 21 31 32 41 42 43 51 52 53 54 61 62 

0 ..... 0,2.1_09690540 .Q.0_26_7.~70941 __ , 0.0145061143 0.0355122377 _0.0643023355 0.0545743076 0.()_62222_06:43_ 0.0494240(90 . 0_,0588526,168 0.0787544027 0.0615095870 .. 0.0535634660 0.0670845256 

1 0.1921154969 0.0530181832 0.0500664299 0.0734065149 0.0626728412 0.0531913309 0.0606452875 0.0481716155 0.0573612230 0.0767586735 0.0599508636 0.0535634660 0.0670845256 

2 . 0.1573471585 0.0665539321 __ 0.058207~781 0.0786470016 0,0624853859 0,0530322328 0,0604638952 0.0480275345 0.0571896519 0.0765290827- 0.0597715492 0,0541045093 0,087762:1447 

3 0.1359771581 0.0610324714 0.0519847618 0.0656648868 0.0624229593 0.0529792497 0.0604034894 0.0479795509 0.0571325186 0.0764526251 0.0597118340 0.0575579884 0.0720873878 

4 .. 0.1058454735 0:0659801258 0.0780550961 0.0793616134 0.0617369906 _0.0523970560 0.0597397140. 0,047.4523026 0.0565046834 0.0756124785 0.0590556596 0.0564182312 0.0706599203 

5 0.0750909142 0.0645627102 0.0733914482 0.0732874129 0.0559170498 0.0474575929 0.0541080614 0.0429789769 0.0511779950 0.0684845018 0.0534884926 0.0489290859 0.0612802835 

6 0.0476805323 0.0608386692 0.0747132670 0.0647716220 0.0468365056 0.0397508123 0.0453212873 0.0359994879 0.0428670388 0.0573630896 0.0448023279 0.0366034411 0.0458432683 

7 0.0331026886 0.06493891_43 __ 0.0806648410 0.0721559442 0.0425786431 0.0361370941 0.0412011709 0.0327268079 0.0389700355 0.0521482660 0.0407293873 0.0340742206 0.0426755959 

8 0.0197278356 0.0649997150 0.0643827445 0.0597693392 o:0468268516 0,0397_426124 0.0453119367 0.0359920640 0.0428582007 0,0573512681. 0.0447930981 0.0358093100 ·o.o44S486759 

9 0.0118473747 0.0677129448 0.0689108213 0.0689004903 0.0534377006 0.0453533365 0.0517089150 0.0410733035 0.0489087688 0.0654479137 0.0511168252 0.0526288382 0.0659139597 

10 0.0053251777 0.0607512683 0.0648030151 0.0588165234 0.0532712252 0.0452120443 0.0515478328 0.0409453420 0;0487584067 0.0652440247 0.0509575859 0.0624520143 0.0782168041 

11 0.0025378610 0.0524367768 0.0558146471 0.0510748953 0.0407951886 0.0536203440 0.0411075833 0.0313560350 0.0391491717 0.0523881239 0.0302.729398 0.0478258601 0.0598985955 

12 0.001301.1470 0.0529801828 0.0501138798 0.0424003017 _-D.033192.4560 0.0489936472 _0.0382933197 0.0255124310 O.-D294483131 0.0394065607_ -_0.0466101866 0.0389128550 0.0487354179 

13 0.0006124019 0.0425262678 0.0386377810 0.0326140898 0.0277347637 0.0456089741 0.0333751020 0.0545980574 0.0316399801 0.0194774783 0.0291673253 0.0325145854 0.0462990441 

14 0.0002476898 0.0448138930 0.039003823~ 0.03305_D7970 0.0364294706 o.o3m45681 0.0430863640 0.0632656498 0.0364439725 0,0194691525 0:0347804437 0.0;427077419 0.04620-y:2388 

15 0.0001527705 0.0327297600 0.0357704509 0.0282867181 0.028351_1969 0.0332950401 0.0210164622 0.0395649332 0.0357887614 0.0311848083 0.0335202065 0.0332372597 0.0300444032 

16 .. 0.0000668536 0.0270600977 0.02440958(6, .. _O,Q_1967}6756 0,0235884296 0.0279132162 0.0253671498 .. _0.0341"566540 0.0259987277 0,0230196849 0.02331,51075 0.0276536739 0.0230524492 

17 0.0000299603 0.0197450172 0.0162482037 0.0135180737 0.0175637044 0.0244970846 0.0206833627 0.0146346390 0.0197956396 0.0052258132 _0.0206748599 0.0205906442 0.0138452217 

18 0.0000127409 0.0_157_20_7729 {).0129944958 0.0106794767 0,0201,192241 0.0250480695 0.0266888558 0.0401958334 -0.01937_40288 0,00372121,59 ' _0.0155464816 0.0235865809" .0.0100066460 

19 0.0000055369 0.0109327203 0.0097340094 0.0083371380 0.0225790392 0.0366610768 0.0301447753 0.0342277190 0.0227335396 0.0175775477_ 0.0203628520 0.0264703224 0.0098603738 

20 0.0000022027 0.0097167069 0.0096594452 0.0078607301 0.0226407923 0.0281971934 0.0173882093 0,0270081845 .0.0289395633 0.0183874556 0.0265944575 0.0265427135 0.0095755112 

21 0.000001 DO} 5 0.0060838669 0.0075445351 .. 0.0053595887_ 0.0212965445 0.0224413685 __ 0.0209032932 0.0367430589 0.0255089927 0.0121624816 .. 0.0238465850 0.0249667984 0.00834025~.1 

22 0.0000005320 0.0047196519 0.0043586128 0.0031760526 0.0221366577 0.0207614938 0.0211741003 __ 0.0294241579 0.0211707159 0.0029207200 0.0232916866 0,0259516972 0.0021970287 

23 0.0000002372 0.0034656381 0.0032604864 0.0028187467 0.0187753208 0.0176845935 0.0186862600 0.0367365508 0.0255742899 0.0006595597 0.0173635700 0.0220110680 0.0022815392 

24 0.0000001072 0.0034048375 0,0028063230 0.0021239852 0.0165801584 0.0153441343 0.0162223474 0.0195371739 0.0181341022 0.0013228019 0.0186391363 0.019437588~ 0,0028947085 

25 0.0000000515 0.0020672227 0.0018979963 0.0014292237 0.0130484803 0.0119613578 0.0125269842 0.0202862884 0.0101534224 0.0013255722 0.0189070434 0.0152949162 0.0014963357 

26 0.0000000201, 0.0015238168 o:oo101ooo52 0.000913115_1 0.0052066606 0.0114707358 0.0046276161 0.0058785937 0.0158244798 _0.0000000000 0.0123859355 0.0061039775 0.000305~544 

27 0.0000000084 0.0007410082 0.0008269841 0.0008535641 0.0044375500 0.0062552616 0.0034269422 0.0066192300 0.0082431519 0.0005853113 0.0073123264 0.0052023202 0.0002365920 

28 0.0000000046 0.0008208090 0,.0006507416 0.0006550608 0.0038534093 0.0027153367 0.0040227141 0.0058648852 0.0078447522 0.0004224309 _.0.00401_991_56 __ 0.0045175071 0.0007539156 

29 0.0000000027 0.0007486082 0.0002846994 0.0002382039 0.0050202650 0.0073813428 0.0039557847 0.0014702211 0.0082910352 0.0000000000 0.0005297244 0.0058854602 0.0002483418 

30 0.0000000060 0.0106363170 0.0052872753 0.0046449769 0.0041641999 0.0025473919 0.0046291194 0.0021486392 0.0093642209 0.0005969550 0.0069720059 0.0048818593 0.0002641374 

Source: Quality assured vehicle registration data for the combined Lake County and Porter County area for source types 21, 32, and 32, MOVES2010a default distributions for all other source types. 
Appendix C 

Lake and Porter Counties Vehicle Po utations: 

Vehicle 

Populations 

Annual Populations 

2008 

2009 

2010 

2011 

2012 

2013 

2014 

2015 

2016 

11 

12,247 

12,330 

12,414 

12,499 

12,584 

12,670 

12,75~ 

278,418 

280,318 

- 282,231 

284,156 

286,095 

288,048 

_290,013 __ 

291_,992 

31 32 

"159,21,4 48,746 

160,301 -49,078 

161,395 49,413 

162,496 49,"(51 

163,605 50,090 

164,721 50,432 

165,845 50,7,76 

_166,977 - 51,122 

J_68,n6___ _ ___ 5JA?.t._ 

41 

296_., 

298 

301, 

303 

306 

308 

311 

314 

2017 

_,,J2,8¥ ... 

12,931 

13,020, 

293,984 169,263 51,822 316 

2018 _,295,£190_ '' -.. J?:0.-4t8.'_- "'" ,52,,1_!:6 ___ . _:_3~_9, 

2019 _13,108 ------------·298,0~0_._ ,_. ____ ,1!_1.581 __ , __ "' 52,532 __ 

2020 13,198- __ 300,044, ''''"'' .J72,752 "''_52,89~ 

2021" '''''- ""' "'-'- ~13,288 '-'-302,09~, 173,931 53,25_1 -

2022 

2023 

2024 

2025 

2026 

2027 

2028 

2029 

2030 

2031 

2032 

2033 

2034 

2035 

2036 

2037 

2038 

2039 

2040 

,13,379 v '_304,152_ 

------- .. _, ___ 306,228 

13,562 308,317 

13,654 310,421 

13,748 

13,841 

,13,936, 

!4,031 

14,127 

14,223 

14,320 ' 

14,418 

1:4,5.16 

14,615 

14,715 

14,815 

14,916 

15,018 

15,121 

312,539 

... 314,672 

316,819 

318,981 

321 .• 158 

323,349 

325,556, 

327,777_ 

330,01.4 

332,265, 

334,533 

336,815 

339,11:4. 

341,428 

343,757 

17_5,1)7 """'-'-'53,61,5"" 

_176,312 ____________ 53,_981 __ 

177,516.'._ 

178,727 

179,946 

181,174 

182,410 

183,655. 

' _184,908 

_186,170-

187,440_" 

_1_88,719 __ 

190,007 ' 

191,304 

192,609 

54,349 

54,720 

55,093 

55,469 

55,848 

56,229 

56,612 

56,999 

57,388 

57,779 

'58,1?:4 

58,571 

58,9,70 

,1,93,923, -- ----- 59,373 

195,247 59,778 

196,5~9 

197,920 

322 

324, 

327 

330 

._332, 

305 

338 

341 

344 

346 

349 

352 

355 

"358 

361 

364 

367 

370 

373 .. 

376 

159 

160 

161 

163' 

164 

166 

167 

... 1.68,, 

170 

_171_ 

173 

_ 17:4_ 

_175 

Jn:. 

178 

180 

181 

183 

184 

186 

187 

_189, 

191 

192 .. 

194 

195 

197 

199 

200 

202 

204 

205 

2,005 

2,021 

2,038 

2,055 

2,072 

2,089 

2,107 

2,124 

2,142 

2,160 

__ 2,178 ' 

2,_:196_-

_ 2,21.4 .. _ 

2.233 

2,251 

2.270 __ 

2,289 

2,308 

2,327 

2,347 

2,366 

2,386 

2,406 

2,426 

2,446 ' 

2,467 

2,487 

2,508 

2,529 

2,550 

2,571 

2,593 

2,614 

58 

58 

59 

59 

60 

60 

61 

61 

62 

62 

63 

63 

____ :64 ___ _ 64 

_,_, ___ 65_ 

__ 66 

66 

67 

67 

"68 

68 

69 

69 

70 

.71. 

71 

- 7,2 

72 

73 

74 

74 

75 

75 

3,634 

3,664 

3,694 

3,725 

3,756 

3,788 

3,819 

3,851 

-- 3,883 __ __ 

3,915 

4,048 

'- . .:4.08_1 

_4,_1_1_5 --

4,~50 

4,184 

_4,219' 

4,254 

4,290 

4,325 

4,36_1 

4,398 

_4,434: 

4,471 

"' _4,509 

4,546 

_4,584 

4,622 

_4,661 

4,700 

4,739 

53 

434 

437 

441 __ 

445 

448 

452 

456 

460 

_A6_3 .. 

483 

487 

491 

485 

499 

504 

508 

512 

516 

521 

525 

529 

534 

538,, 

543 

547 

_552 

556 

561 

566 

-- _83_1 

838 

"345 

852 

859 

867 

874 

881 

888, 

896 

926 

'934_, 

"942 

,949 

957 

965 

973 

982 

990 

998 

1,006 

1,01,5 

1,023 

1,032 

1,040 

1,049 

1,058 "' 

1,066 

1,075 

1,084 

6,485, 

6,539 

6,593 

6,648 

6,703 

6,759 

6,816 

6,872-

.,6,93_0 .. 

6,987 

62 

7,399 

7,461 

7,523 

7,586 

7;649 

7,713 

7,777 

7,842 

7,£107_ 

7,973 

8,03_9, 

8,106 

8,)74 

7,223'' """'""8,2~2 ... 

. ' . " ,7,283.,,, .. ,8,311 

7,344 

7,405 

7,467 

(,529_ 

7,592 

7,655 

7,719 

7,783 

7,848 

(,91_3 

7,979 

8,0:¢.6, 

8,113 

8,181 

"8,249 

8,317 

8,387 

8,457 

.,, .. ,8.38~-

8,450 

8,520 

_8,591 .. 

8,663 

8,735 

8,808 

8,881 

8,955 

9,030 

9,105 

9,181 

9.257 

9,334 

9,412 

9,490 

9,570 

9,649 

Source: Quality assured vehicle registration data for the combined Lake County and Porter County area for source types 21, 32, and 32, MOVES2010a default mileage accumulation rates for all other source types. Population growth factors are taken from local 

socioeconomic data forecasts. 
Appendix D 

Lake and Porter Counties Meteorological Data: 

Ozone PM2.5 

monthiD zoneiD HouriD temperature reiHumidity monthiD zoneiD HouriD temperature reiHumidity 

7 180890 1 67.0 88.0 4 180890 1 43.7 100.0 

7 180890 2 65.8 91.8 4 180890 2 42.5 100.0 

7 180890 3 64.9 94.9 4 180890 3 41.6 100.0 

7 180890 4 64.2 97.2 4 180890 4 41.0 100.0 

7 180890 5 63.6 99.0 4 180890 5 40.5 100.0 

7 180890 6 63.0 100.0 4 180890 6 39.9 100.0 

7 180890 7 62.5 100.0 4 180890 7 39.4 100.0 

7 180890 8 62.9 100.0 4 180890 8 39.8 100.0 

7 180890 9 65.5 92.6 4 180890 9 42.3 100.0 

7 180890 10 69.7 80.2 4 180890 10 46.2 97.2 

7 180890 11 74.0 69.4 4 180890 11 50.3 83.5 

7 180890 12 77.7 61.4 4 180890 12 53.8 73.5 

7 180890 13 80.9 55.3 4 180890 13 56.8 65.8 

7 180890 14 82.6 52.2 4 180890 14 58.5 62.0 

7 180890 15 83.2 51.2 4 180890 15 59.0 60.7 

7 180890 16 83.4 50.9 4 180890 16 59.2 60.3 

7 180890 17 83.0 51.6 4 180890 17 58.8 61.2 

7 180890 18 81.7 53.7 4 180890 18 57.6 63.8 

7 180890 19 79.7 57.5 4 180890 19 55.7 68.6 

7 180890 20 77.0 62.9 4 180890 20 53.1 75.3 

7 180890 21 74.3 68.8 4 180890 21 50.5 82.7 

7 180890 22 71.9 74.5 4 180890 22 48.3 89.9 

7 180890 23 70.3 78.8 4 180890 23 46.7 95.4 

7 180890 24 68.6 83.4 4 180890 24 45.2 100.0 

Source: Mobile 6.2 reported meteorological data from Air Quality Conformity Determination Between the 2040 Regional Transportation Plan. the Fiscal Year 2012 

to 2015 Transportation Improvement Program. and the Indiana State Implementation Plan for Air Quality. Appendix E. developed by NIRPC in June. 2011 

converted using EPA data converter. 
Appendix E 

Indiana Default VMT Distributions by Vehicle Type and Road Type: 

Road Light Duty Single Unit Combination 

Type Motorcycle Passenger Car Truck Bus Truck Truck 

2 0.007033832 0.506408086 0.163786651 0.004174166 0.007773053 0.310824213 

3 0.001733929 0.659751199 0.225767175 0.000793168 0.010963315 0.100991214 

4 0.004429643 0.424581084 0.299243052 0.005271096 0.008735204 0.257739921 

5 0.002785022 0.702754695 0.245240087 0.001402085 0.009764356 0.038053756 

Source: Statewide averages developed from Indiana Department of Transportation traffic count data for all road types except for Road Type 4. Distributions for 

Road Type 4 taken specifically from 1-80 in Gary (count station 4000) as per ICG consensus to represent higher than average truck traffic in Gary. 
Appendix F 

Indiana Default Hourlv Distribution Factors for Road Tvoe 2- Rural Restricted Access: 

Source Types 

Hour 11 21 31 32 41 42 43 51 52 53 54 61 62 

1 0.0125903247 0.0101219844 0.0084967341 .. 0.0084967341 . .. 0.0254913340 0.0254913340 0.0254913340 0.0126607"(89 0.0126607789 0.0126607789 0.0126607789 0.0197906895 0.0197906895 

2 0.0104070951 0.0069241973 0.0066421955 0.0066421955 0.0269500431 0.0269500431 0.0269500431 0.0114617645 0.0114617645 0.0114617645 0.0114617645 0.0212124099 0.0212124099 

3 0.0098043179 0.0056567534 0.0061275627 0.0061275627 0.0231103443 0.0231103443 0.0231103443 0.0107741941 ~ 0.0107741941 0,0107741941 0.0107741941 0.020_1_622890 ~ .0.0201622890 

4 0.0140329469 0.0069658232 0.0084286563 0.0084286563 0.0234460042 0.0234460042 0.0234460042 0.0128724692 0.0128724692 0.0128724692 0._012872_4:692 0.0213065902 0.0213065902 

5 .... 0.0165212405 0.0100941552 0.0134026652 .0.0~34026652 0.0244090660 0.0244090660 0.0244090660 0.0174195788 0.0174195788 0.0174195788 0.0174195788 0.0250478552 .. 0.025047_8552 

6 0.0312047458 0.0241732202 0.0316551315 0.0316551315 0.0322923692 0.0322923692 0.0322923692 0.0261005783 0.0261005783 0.0261005783 0.0261005783 0.0304976568 0.0304976568 

7 0,0399082603 0.0390974746 0.0481531313 0.0481531313 0,0302344914 0.0302344914 0.0302344914 0.0420450985 0.0420450985 0.0420450985 0.0420450985 0.0339947725 0.0339947725 

8 0.0482864956 0.0528758381 0.0535145983 0.0535145983 ... 0.038607_1_681 0.0386071681 0.03860?1681 ____ 0.0556119122 0.0556119122 0.0556119122 0.0556119122 0.0383435322 0.0383435322 

9 0.0472316355 0.0493101459 0.0541442978 0.0541442978 0.045414477.3 0.0454144773 0.0454144773 0.0647383083 0.0647383083 0.0647383083 0.0647383083 0.0447350945 - 0,0447350945 

10 0.0521292001 0.0488627065 0.0570682751 0.0570682751 0.0533197396 0.0533197396 0.0533197396 0.0711110358 0.0711110358 0.0711110358 0.0711110358 0.0517738130 0.0517738130 

11 0.0559204481 0.0513700269 0.0575854739 0.0575854739 0.0576707709 0.0576707709 0.0576707709 0.0730230234 0.0730230234 0.0730230234 0.0730230234 0.05577_12484 0.0557712484 

12 0.0572822100 0.0533048469 0.0582753930 0.0582753930 0.0549541212 0.0549541212 0.0549541212 0.0731872952 0.0731872952 0.0731872952 0.0731872952 0.0571435296 0.0571435296 

13 0.0592008057 0.0551586141 0.0599414146 0.0599414146 0.0541541840 0.0541541840 0.0541541840 0.0739324454 0.0739324454 0.0739324454 0.0739324454 0.0567014536 0,0567014536 

14 0.0615145144 0.0595500442 0.0635019874 0.0635019874 0.0570747392 0.0570747392 0.0570747392 0.0746488056 0.0746488056 0.0746488056 0.0746488056 0.0567500887 0.0567500887 

15 0.0647783324 0.0662712693 0.0683897966 0.0683897966 0.0551925339 0.0551925339 0.0551925339 0.0704234655 0.0704234655 0.0704234655 0.0704234655 0.0578234055 .. 0,0578234055 

16 0.0713500739 0.0764876319 0.0772110428 0.0772110428 0.0551956709 0.0551956709 0.0551956709 0.0628601912 0.0628601912 0.0628601912 0.0628601912 0.0577540296 0.0577540296 

17 0.0754978425 0.0847_160034 0.0792545794 0.0792545794 0.0557979766 .. 0.0557979766 .. 0.0557979766 0.0534712990 0.0534712990 0.0534712990 0,0534712990 0.0562910814 0,0562910814 

18 0.0693763461 0.0821220539 0.0693254052 0.0693254052 0.0501011685 0.0501011685 0.0501011685 0.0436895095 0.0436895095 0.0436895095 0.0436895095 0.0527021980 0.0527021980 

19 0.0542187052 0.0620082513 0.0521045300 0.0521045300 ~ 0.0459665909 0.0459665909 0.0459665909 0.0363413126 0.0363413126 0.0363413126 0,0363413126 0.0502215100 0.0502215100 

20 0.0432143461 0.0459015588 0.0390794599 0.0390794599 0.0462959768 0.0462959768 0.046295_9768_ 0.0312048570 0.0312048570 0.0312048570 0.0312048570 0.0467116534 0.0467116534 

21 0.0358137860 0.0372595462 .. 0.0311015284 0.0311015284 0.0418602463 0.0418602463 0.0418602483 0.0261242877 0.0261242877 0.0261242877 0.0261242877 0.0421311043 0.0421311043 

22 ········· 0.0294294934 0.0312744978.. 0.0249803003 0.0249803003 0.0366496745 0.0366496745 0.0366496745 0.0215822587 0.0215822587 0.0215822587 0.0215822587 0.0381387483 .. 0.0381387483 

23 0.0223450238 0.0235734666 0.0182964081 0.0182964081 0.0347517842 0.0347517842 0.0347517842 0.0189759266 0.0189759266 0.0189759266 0.0189759266 0,0342326572 0.0342326572 

24 0.0179418099 0.0169198902 0.0133194323 0.0133194323 0.0310595247 0.0310595247 0.0310595247 0.0157396039 0.0157396039 0.0157396039 0.0157396039 0.0307625891 0.0307625891 

Source: Statewide averages developed from Indiana Department of Transportation traffic count data. 
Indiana Default Hourlv Distribution Factors for Road Tvoe 3- Rural Unrestricted Access: 

Source Types 

Hour 11 21 31 32 41 42 43 51 52 53 54 61 62 

1 0.0040299464 0.0073183989 0.0054636028 0.0054636028 0.0036998387 0.0036998387 0.0036998387 0.0043986387 0.0043986387, 0,0043986387 0.0043988387 0.0164160879 0.0164160879 

2 0.0040299464 0.0041131835 0.0034619242 0.0034619242 0.0045536477 0.0045536477 0.0045536477 0.0041872686 0.0041872686 0.0041872686 0.0041872686 0.0167510731 0.0167510731 

3 0.0041817017 0.0032797517 0.0030691885 0.0030691885 0.0046485153 0.0046485153 0.00464851_53 ____ 0.0073497934 0.0073497934 .-.0.0073497934 0.0073497934 0.0165479051 0.0165479051 

4 0.0053114356 0.0057247729 0.0048082254 0.0048082254 0.0039844417 0.0039844417 0.0039844417 0.0084039684. 0.0084039684 0.0084039684 0.0084039684 0.0195836328 0.0195836328 

5 0.0140963815 0.0151258840 _0.0143177758 0.0143177758 0.0082534864 0.0082534864 0.0082534864 ... O.Q153176438 0.0153176438 .. 0.0153176438 0.0153176438 0.0258467673 0.0258467673 __ ,_ 

6 0.0292719118 0.0316782840 0.0354335195 0.0354335195 0.0293141068 0.0293141068 0.0293141068 0.0299744215 0.0299744215 0.02997 44215 0.0299744215 0.0344245647 0.0344245647 .... 

7 0.0397598894 0.0468485516 0.051,6314034 0.0516314034 0.0496157860 0.0496157860 0.04961_5(860 __ . 0.0557776279 0.0557776279 0.05577_76279 0.0557776279 0.0440469233 0.0440469233 

8 0.0448183995 0.0633910409 0.0636260878 0.0636260878 0.0768428043 0.0768428043 0.0768428043 0.0778885464 0.0778885464 0.0778885464 0.0778885464 0.0512793380 0.0512793380 

9 0.0370114322 0.0460357746 0.0558633273 0.0558633273 0.1049236315 0.1049236315 0.1049236315 0.0853025536 0.0853025536 0.0853025536 0.0853025536 o:o566238265 0.0568238265 

10 ___ --------- 0.0416989849 0.0427840868 0.0547852386 0.0547852386 0.1065363817 0.1065363817 0.1065363817 0.08797277~ 0.0879727734 0.0879727734 0.0879_72_7_73_4: ___ 0.0599756501 0.0599756501 

11 ..... _0.0509391967 0.0444183487 __ 0.0568454275 0.0568454275 0.1186794422 0.1186794422 0.1186794422 0.0886336394 0.0886338394 0.0886336394 0.0886336394 0.0633505956 0.0633505956 

12 .... 0.0563855259 0.0512966366 0.0618918527 0.06~8918527 0.1154539418 0.1154539418 0.1154539418 0.0859045570 0.0859045570 0.0859045570 0.0859045570 0.0635864154 0.0635864154 

13 ,0.0638721209 .0.0537246907 0.0610818211 0.061081821_1 0.0999905132 0.0999905132 0.0999905132 0.0858537212 0.0858537212 0.0858537212 0.0858537212 0.0644099711 0.0644099711 

14 0.0708697265 0.0545001954 0.0632013074 0.0632013074 0.0864244379 0.0864244379 0.0864244379 0.0852196109 0.0852196109 0.0852196109 0.0852196109 0.0637040231 0.0637040231 

15 ····· 0.0774626513 0.0656899700: ___ 0.0681384267 ... 0.06813~267 0.0592922873 0,05_92922873:_~ 0.0592922873' 0.0774551039 0.07,74551039 . ... 0.0774551 039' 0.077_4551_039 ____ _o_.0_6_096579_13 .. 0.0609657913 

16 0.0849155229 0.0775959037 0.0765115831 0.0765115831 0.0295038421 0.0295038421 0.0295038421 0.0663381066 0.0663381066 0.0663381066 0.0663381066 0.0570058311 0.0570058311 

1;: 0.0916096179 o:os71890696 0.079601~_()5 ___ 0.07960,1;4405 0,0317806660 __ 0.0317806660 0.0317806660 0.0433522764,_ 0.0433522764 0.0433522J64 0.0433522764 . :0.0517440242 o.65:t?44o242 :" 

18 0.0855899909 0.0856725476 0.0737419189 0.0737419189 0.0184043260 0.0184043260 0.0184043260 0.0290727541 0.0290727541 0.0290727541 0.0290727541 0.0467760851 0.046~7_60851"' 

19 0.0685259502 0.0656330958 _0.0545272751. 0.0545272751 0.0120481928 - 0.0120481_928 ... 0.012048~_928 0.0187744B15 0.0187744815 0.0187.?:44815 .. O.OW1:744815_ 0.0413186688 0.0413186686 

20 0.0503658989 0.0457301992 0.0390975413 0.0390975413 0.01_1_858<1-575. 0.0_118584575 0.0118584575 0.0129711680 0.012_971168~ 0.0129711680 0.0129711680 0.0364_127:07.8. 0.0364127078 

,21,. 0.0353421239 0.0400621944 0.0294058171 0.0294058171 ,0.00967_65Q13 "_0.00967S5013 0.0096785013 o:o106166S56 _0.0106_1_66656,. 0.0.1061,66656 0.0106~66656 "0.03188829~,5 ~ 0.03)8882915 

22 ... 0.0217853~68 0.0289018238 0.0218457686 0.0218457686 0.006_1663979 0.0061663979 0.0061663979 0.0079972816 0.0079972816 0.0079972816 .. 0.0079972816 0.0290264055 0.0290264055 

23 0.0119380838 0.0205028665 0.013'6731866 0.0~36731866 0.0048382506 0.0048382506 0.0048382506 0.0061564888. 0.0061564888 0.0061564888 0.0061564888 0.0255574344 0.0255574344. 

24 0.0061882440 0.0127827290 0.0079763402 0.0079763402 0.0035101034 0.0035101034 0.0035101034 0.0050809093 0.0050809093 0.0050809093 0.0050809093 0.0225579868 0.0225579868 

Source: Statewide averages developed from Indiana Department of Transportation traffic count data. 
Indiana Default Hourly Distribution Factors for Road Type 4 -Urban Restricted Access: 

Source Types 

Hour 11 21 31 32 41 42 43 51 52 53 54 61 62 

1 0.0114836630 0.0104500369 0.0090397680 0.0090397680 0.0186488577 0.0186488577 0.0186488577 0.0090968023 0.0090968023 0.0090968023 0.0090968023 0.01941731_19 0.0194173119 

2 0.0071800855 0.0062500477 0.0056304309 0.0056304309 0.0163411454 0.0163411464 0.0163411464 0.0080102618 0.0080102618 0.0080102618 0.0080102618 0.0198708197 0.0198708197 

3 ....... 0.0063691205 0.0049689741 0.0046493622 0.0046493622 0.0157775876 0.0157775876 0.0157775876 0.0078361983 0.0078361983 0.0078361983 0.0078361983 0.0186489893 0.0186489893 

4 0.0073777516 0.0058427101 0.0058801326 0.0058801326 0.0161766037 0.0161766037 0.0161766037 0.0086827231 0.0086827231 0.0086827231 0.0086827231 0.0198231326 0.0198231326 

5 0.0108139353 0.0098545059 0.0108999000 0.010&199000 0.0221330492 0.0221330492 0.0221330492 0.0117453229 0.0117453229 0.0117453229 0.0117453229 0.0232515449 0.0232515449 .... .. 

6 0.0235457656 0.0231603609 0.0263517526 0.0263517526 0.0299755654 0.0299755654 0.0299755654 0.0204013312 0.0204013312 0.0204013312 0.0204013312 0.0294638153 0.0294638153 ...... 

7 .... 0.0461747881 0.0495085217 0.0542414568 .0.0542414568 . 0.0393812372 _. 0.0393812372 0.0393812372 0.0435263184 0.0435263184 0.0435263184 0.0435263184 0.0375553768 0.0375553768 

8 0.0567226756 0.0788353145 0.0674512195 0.0674512195 0.0503870867 0.0503870867 0.0503870867 0.0659533819 0.0659533819 0.0659533819 0.0659533819 0.0446175773 0.0446175773 

9 0.0493171440 0.0638279223 0.0614111771 0.0614111771 0.0589556475 0.0589556475 0.0589556475 0.0756333178 0.0756333178 0.0756333178 0.0756333178 0.0515843704 0.0515843704 

10 0.0406144957 0.0466481655 0.0536303211 0.0536303211 0.0581555587 0.0581555587 0.0581555587 0.0790728466 0.0790728466 0.0790728466 0.0790728466 0.0553194565 0.0553194565 ..... .. 11 0.0415130748 0.0428102606 0.0512594850 0.0512594850 0.0616027281 0.0616027281 0.0616027281 0.0824723032 0.0824723032 0.0824723032 0.0824723032 0.0583081277 0.0583081277 

12 0.0465166969 0.0452333632 0.0529793024 0.0529793024 0.0644246353 0.0644246353 0.0644246353 0.0820640679 0.0820540679 0.0820540679 0.0820540679 0.0589378233 0.0589378233 . 

13 0.0517959830 0.0478487216 0.0547982766 0.0547982766 0.0637644078 0.0637644078 0.0637644078 0.0808088903 0.0808088903 0.0808088903 o:oso8os8eos 0.0575925555 0.0575925555 

14 0.0566713893 0.0502151226 0.0576880799 0.0576880799 0.0625591325 0.0625591325 0.0625591325 0.0811795580 0.0811795580 0.0811795580 0.0811795580 0.0571667797 0.0571667797 .·· 15 .0.0671_882913 0.0580384620 0.0656779676 0.0656779676 _D,06.19482678 ... 0,0619482678 . _D,06~"9482678, .. 0.0?95090490 0.0795090490 0.0795090490 0.0795090490 0.0573429674 0.0573429674 

16 0.0810035452 0.0715596945 0.0786905659 0.0786905659 0.0609466141 0.0609466141 0.0609466141 0.0727723312 0.0727723312 0.0727723312 0.0727723312 0.0567213465 0.0567213465 

17 0,08638~724 0.0838541123 0.0821371575 0,0821371575 :0.0577256909 -- 0.0577256909 _D.0577256909 0,0563364761 0.0563364761 0.0563354761 0.0563364761 0.0551911545 0,0551911545 

18 0.0843254717 0.0874512168 0.0756929494 0.0756929494 0.0510164625 0.0510164625 0.0510164625 0.0371719560 0.0371719560 0.0371719560 0.0371719560 0.0531125437 0.0531125437 

19 . 0.06_4595~265_ .. 0.0604364374 0.0543673700 0.0543613700 0.0450990958 0.0450990958, 0,0450990958 . 0.0249336618 0.0249336618 0.0249336618 0.0249336618 0.04871_9,9307 0.~87~99307 .. 

20 0.0469536991 0.0424749554 0.0373951308 0.0373951308 0.0384927066 0.0384927066 0.0384927066 0.0188134711 0.0188134711 0.0188134711 0.0188134711 0.0432101938 0.0432101938 

21 .... 0.0373781148 0.03532806SO 0.0293181427 0.0293181'427 0.0322318571 0.0322318571 0.0322318571 .·.o.o~_6244677_4 0.016244677:4 0.0162446774. 0.016244677:4 0.0390319248 0.0390319248 

22 0.0316564842 0.0313403787 0.0249971308 0.0249971308 0.0282046747 0.0282046747 0.0282046747 0.0142456600 0.0142456600 0.0142456600 0.0142456600 0.0355118446 0.0355118446 

23 0.0245992722 0.0251562568 0.0203505544 0.0203505544 o:o242700475 0.0242700475 0.0242700475 {1,0124474209 0.0124474209 0.0124474209 0.0124474209 0.0317711657. - 0,0317711657 

24 0.0198157539 0.0189063955 0.0154623663 0.0154623663 0.0217813392 0.0217813392 0.0217813392 0.0110419727 0.0110419727 0.0110419727 0.0110419727 0.0278292477 0.0278292477 

Source: Statewide averages developed from Indiana Department of Transportation traffic count data. 
I n d" 1ana D fa H I D" "b • U// ounv J 1stn ut10n F a ct ors n or Road Tvoe 5 -Ur. b an u nrestricted Access: 

Source Types 

Hour 11 21 31 32 41 42 43 51 52 53 54 61 62 

1 0.0092279794 0.0085268711 0.0060669694 0.0060669694 0.0126828270 0.0126828270 0.0126828270 0.0037158531 0.0037158531 0.0037158531 0.0037158531 0.0106396358 0.0106396358 

2 0.0055316691 0.0048527626 0.0037675180 0.0037675180 0.0099485186 0.0099485186 0.0099485186 0.0038117041 0.0038117041 0.0038117041 0.0038117041 0.0124309233 0.0124309233 

3 0.0047273286 0.0037895145 0.0033129405 0.0033129405 0.0069482800 0.0069482800 0.0069482800 0.0044165887 0.0044165887 0.0044165887 0.0044165887 0.0121505035 0.0121505035 

4 0.0047017359 0.0044201159 0.0042394230 0.0042394230 0.0113599945 0.0113599945 0.0113599945 0.0056282193 0.0056282193 0.0056282193 0.0056282193 0.0144699998 0.0144699998 

5 0.0081859928 0.0079416389 .... 0. 0087215410 0.0087215410 0.0153898606 0.0153898606 0.0153898606 0.0086545038 0. 0086545038 0.0086545038 0.0086545038_- 0.0210508569 0.0210508569 

6 . 0.0225361588 0.0203863353 0.0238668712 0.0238668712 0.0256929528 0.0256929528 0.0256929528 0.0191822890 0.0191822890 _0.01_91822890 0.0191822890 0.0299165403 0.0299165403 

7 0.0435184779 0.0478282898 0.0541952158 0.0541952158 0.0448331117 0.04483311_17 0.0448331117 0.0418068371 0.0418068371 0.041806837_1_ 0.0418068371 0.0436775030 0.0436775030 

8 0.0602121997 0.0~21456866 0.0675347974 0.0675347974 0.0691895946 0.0691895946 0.0691895946 0.0731482386 0.0731482386 0.0731482386 0.0731482386 0.0588646976 0.0588646976 

9 .. 0.0556311148 0.0567013667 0.0643660182 0.0643660182 0.0747059425 0.0747059425 0.0747059425 0.0880926125 0.0880926125 0.0880926125 0.0880926125 0.0640862836 0.0640862836 

10 0.048582167_0_ 0.0466493163 0.0603283916 0.0603283916 0.0803995772 0.0803995772 0.0803995772 0.0921313810 0.0921313810 0.0921313810 0.0921313810 0.0680944168 0.0680944168 

11 .. 0.0495985610 0.0468148434 0.0590657789 0.0590657789 0.0774061573 0.0774061573 0.07_74061573 0.0943973720 0.0943973720 0.0943973720 0.0943973720 0.0703404942 0.0703404942 

12 0.0573056055 0.0516032787 0.0615645883 0.0615645883 0.0753332651 0.0753332651 0.0753332651 0.0911430924 0.0911430924 0.0911430924 0.0911430924 0.0698309800 0.0698309800 

13 0.0607752380 0.0555323143 0.0626732860 0.0626732860 0.0739763390 0.0739763390 0.0739763390 0.0895629476 0.0895629476 0.0895629476 0.0895629476 0.0685413889 0.0685413889 

14 0.0609214817 0.0562211160 0.0629887267 0.0629887267 0.0779993863 0.0779993863 0.0779993863 0.0912650000 0.0912650000 0.0912650000 0.0912650000 0.0671175363 0.0671175363 

15 0.0649907135 0.0607579027 '' 0.0667909366 0.0667909366 0.0761037810 0.0761037810 0.0761037810, 0.0905726397 0.0905726397 0.090572639( 0.0905726397 0.0651260461 .. 0.0651260461 

16 0.0724418316 0.0715477952 0.0751790074 0.0751790074 0.0728035185 0.0728035185 0.0728035185 0.0775387708 0.0775387708 0.0775387708 0.0775387708 0.0605241028 0.0605241028 

17 0.0773519648 o:o8036471 01 .. 0.0757034489 0.0757034489 0.0526405510' 0.0526405510 0.0526405510 0.0464337395 0.0464337395 0.0464337395 0.0464337395 0.0557685235 0.0557685235 

18 0.0770777578 0.0832250581 0.0684911688 0.0684911688 0.0347686748 0.0347686748 0.0347686748 0.0260342365 0.0260342365 0.0260342365 0.0260342365 0.0506461891 0.0506461891 

.19 0.0635977420 0.0637849687 - _0.0526386278 0.0526386278 0.0285090860 0.0285090860 0.0285090860 O.OF3341336 0.017334J336 0.0173341336 0.01}3341336 0.0402747366 0.0402747366 

20 0.0483079600 0.0462284324 0.0372839274 0.0372839274 0.0220585728 0.0220585728 0.0220585728 0.0112536468 0.0112536468 0.0112536468 0.0112536468 0.0310667712 0.0310667712 

21 0.0383158572 0.0386568197 0.0292289942 0.0292289942 0.0174082029 0.0174082029 0.0174082029 0.0076615624 0.0076615624 0.00(6615624 0.00"?_661_5624 ,, '0.0268533367 0.0268533367 

22 0.0305027859 0.0325107827 0.0236169348 0.0236169348 0.0137124544 0.0137124544 0.0137124544 0.0062358957 0.0062358957 ..... 0.0062358957 .. 0.0062358957 0.0231915644 0.023191564:--

23 ... 0.0214502991 0.0236017051 0.0170601049 0.0170601049 0.0139442910 0.0139442910 0.0139442910 0.0053276381 0.0053276381_ . 0.0053276381 o:oo53276381 0.0193751364 0.0193751364 

24 0.0145073780 0.0159083752 0.0113147831 0.0113147631 0.0121850602 0.0121850602 0.0121850602 0.0046510979 0.0046510979 0.0046510979 0.0046510979 0.0159618330 0.0159618330 

Source: Statewide averages developed from Indiana Department of Transportation traffic count data. 
AppendixG 

I n d' ~ana D e f. au It D auv 'I 0' IS t rJ 'b U I' JOn F actors: 

dayiD 

monthiD 2 5 

1 0.2325411725 0. 767 4588275 

2 0.2380547378 0.7619452622 

3 0.2393402049 0.7606597951 

4 0.2396052454 0. 7603947546 

5 0.2484757701 0.7515242299 

6 0.24897 43665 0.7510256335 

7 0.2481153021 0.7518846979 

8 0.2527028648 0.7472971352 

9 0.2496078420 0.7503921580 

10 0.2462808693 0.7537191307 

11 0.2439742406 0.7560257594 

12 0.2258784720 0.7741215280 

Source: Statewide averages developed from Indiana Department of Transportation traffic count data. 
Appendix H 

Indiana Default Monthlv Distribution Factors: 

mont hiD monthVMTFraction 

1 0.0733424010 

2 0.0693661929 

3 0.0827036024 

4 0.0831789580 

5 0.0891346903 

6 0.0888150873 

7 0.0907968617 

8 0.0918542094 

9 0.0854175366 

10 0.0875162272 

11 0.0812354405 

12 0.0766387926 

Source: Statewide averages developed from Indiana Department of Transportation traffic count data. 
Appendix I 

Lake and Porter Counties Ramp Fractions: 

Road Tvpe 

2 

4 

Ramp 

Fraction 

0.79% 

6.66% 

Source: Analysis of VHT from the CMAP travel demand model. 
AppendixB 

Lake and Porter Counties, Indiana, 

Maintenance Area Interagency 

Consultation Group Meeting 

Minutes/Summary 
This page left intentionally blank 
Interagency Consultation Group (ICG) Conference Call Minutes 

For the MOBILE6.2 to MOVES MVEB Replacement Update 

Related to the Maintenance Plan for the Annual Fine Particles Standard for Lake and 

Porter Counties, Indiana 

ICG Conference Call Date and Time 

• September 25, 2012 at I Oam Eastern 

ICG Attendees 

• Shawn Seals (IDEM), Linda McClure (IDEM), Patricia Morris (EPA), Steve 

Smith (INDOT), Greg Kalter (INDOT), Larry Heil (FHW A), and Bill Brown 

(NIRPC) 

ICG Discussion Topics and Conclusions 

I. For the Ozone MVEB Replacement submittal, various mobile source margins of 

safety were discussed. 

A. After discussion, the consensus of the ICG was that as long as the a 15% 

mobile source margin of safety for VOC and NOx emissions does not result in 

an exceedance of the all sources margins of safety, it was reasonable and 

appropriate for inclusion in MVEB replacement submittal. 

2. For the PM2.s MVEB Replacement submittal, various mobile source margins of 

safety were discussed. 

A. After discussion, the consensus of the ICG was that as long as the a 15% 

mobile source margin of safety for NOx and PM2.5 emissions does not result in 

an exceedance of the all sources margins of safety, it was reasonable and 

appropriate for inclusion in MVEB replacement submittal. 

B-1