INDIANA DEPARTMENT OF ENVIRONMENTAL MANAGEMENT 

We Protect Hoosiers and Our Environment. 

100 N. Senate Avenue • Indianapolis, IN 46204 

(800) 451-6027 • (317) 232-8603 • www.idem.IN.gov 

Michael R. Pence 

Gm•enwr 

Thomas W. Easterly 

Commissioner 

Ms. Susan Hedman 

Regional Administrator 

U.S. Environmental Protection Agency 

Region 5 

77 West Jackson Boulevard 

Chicago, IL 60604-3950 

Dear Ms. Hedman: 

July 2, 2013 

Re: MOBILE6.0 to MOVES MVEB 

Replacement Update to the Maintenance 

Plan for the 1997 8-Hour Ozone Standard 

for Vigo County, Indiana 

The Indiana Department of Environmental Management (IDEM) submits the 

enclosed MOBILE6.0 to Motor Vehicle Emissions Simulator (MOVES) Motor Vehicle 

Emissions Budget (MVEB) replacement update to the maintenance plan for the 1997 8-

hour ozone standard for Vigo County, Indiana. The United States Environmental 

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

Maintenance Plan for Ozone Attainment in the 8-Hour Ozone Basic Nonattainment 

Area, for Vigo County, Indiana, submitted by IDEM on July, 5, 2005, with an effective 

date of February 6, 2006. IDEM requests that U.S. EPA process this final submittal for 

approval into Indiana's State Implementation Plan . 

IDEM provided an opportunity for a public hearing on the MVEB replacement 

update to the maintenance plan for the 1997 8-hour ozone standard for Vigo County, 

Indiana, if a public hearing request was received by June 12, 2013. A hearing was 

scheduled for June 19, 2013. No request for a public hearing was received and the 

hearing was cancelled. IDEM received no public comments during the public notice 

process. Documents related to the public participation process are included in 

Appendix C of this submittal. 

This MOBILE6.0 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 Vigo County, Indiana, area's traveldemand model. 

An Equal Opportunity Employer 0 

A State that~ 

(i) Recycled Paper 
Ms. Hedman 

Page 2 

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 MOBILE6.0, which was used to create the MVEBs in the original 

1997 8-hour ozone maintenance plan. 

Onroad safety margins, established through the interagency consultation 

process, are included for nitrogen oxides (NOx) and volatile organic compounds 

(VOCs). These onroad safety margins are allocated to onroad emission estimates in 

order to account for the wide array of assumptions that are factored into the calculation 

process. With the addition of onroad safety margins applied to mobile sources, the Vigo 

County, Indiana, ozone 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 VOC emissions (i.e., all source categories) do not exceed attainment year 

emissions to ensure continued maintenance of the 1997 8-hour ozone 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 review of the MOBILE6.0 

to MOVES MVEB replacement update and revised transportation conformity budgets 

and approval into Indiana's State Implementation Plan for the Vigo County, Indiana, 

maintenance area under the 1997 8-hour ozone standard. If you have any questions or 

need additional information, please contact Scott Deloney, Chief, Air Programs Branch, 

at (317) 233-5694. 

KB/sad/sms 

Enclosures: 

Sincerely, 

;<_.J.A_ 0 (V~r"") 

Keith Baugues 

Assistant Commissioner 

Office of Air Quality 

On road Emissions MOBILE6.0 to MOVES Replacement Submittal for the Vigo 

County, Indiana, Maintenance Area under the 1997 8-Hour Ozone Standard and 

Appendices 

cc: Doug Aburano, U.S. EPA Region 5 (no enclosures) 

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

Ed Doty, U.S. EPA Region 5 (no enclosures) 

Pam Blakley, U.S. EPA Region 5 (no enclosures) 

Anthony Maietta, U.S. EPA Region 5 (no enclosures) 

Ron Hinsenkamp, WCIEDD (w/ enclosures) 

Keith Baugues, IDEM-OAQ (no enclosures) 

Scott Deloney, IDEM (no enclosures) 

Shawn Seals, IDEM (w/ enclosures) 
Onroad Emissions MOBILE6.0 to 

MOVES Replacement Submittal 

For the Vigo County, Indiana, 

Maintenance Area under the 1997 

8-Hour Ozone Standard 

FINAL 

July 2013 
This page intentionally left blank 
Introduction 

On July 5, 2005, the Indiana Department of Environmental Management (IDEM) submitted a 

Requestfor Redesignation and Maintenance Plan for Ozone Attainment in the 8-How· Ozone Basic 

Nonattainment Area, for Vigo County, Indiana. The United States Environmental Protection 

Agency (U.S. EPA) subsequently approved the Indiana redesignation ofVigo County, Indiana, to 

attai1m1ent for the 1997 8-hour ozone standard on January 5, 2006 with an effective date of 

Febmary 6, 2006 (71 FR 541 ). Onroad emissions for the July 5, 2005, submittal were calculated 

using MOBILE6.0. U.S. EPA has encouraged mobile source stakeholders to transition to the new 

Motor Vehicle Emissions Simulator (MOVES) model as expeditiously as possible. Therefore, 

IDEM is providing this MOBILE6.0 to MOVES replacement update to the previously submitted 

1997 8-hour ozone maintenance plan for the Vigo County, Indiana, ozone maintenance area that 

incorporates MOVES-based omoad emissions. 

Emission Inventory 

Table 4.1 was included without title in Appendix B of the original Redesignation Petition and 

Maintenance Plan. Table 4.1 -A (to be considered a replacement of the table included in 

Appendix B) has been revised to incorporate updated onroad emission estimates for nitrogen oxides 

(NOx) and volatile organic compounds (VOCs) for the years 2002,2010, and 2015; it results in a 

different overall safety margin for the area. 

Table 4.1 

Comparison of2002, 2010, and 2015 Emission Estimates in Tons Per Summer Day, Vigo 

County 1997 8-Hour Ozone Nonattainment Area (MOBILE6.0-based Onroad Emissions) 

Sector 2002 NOx 2010 NOx 2015 NOx 

Area 1.30 1.40 1.43 

Non-road 2.53 2.01 1.53 

Mobile ++.-1-G fr.+6 ~ 

Point 33.63 12.91 12.93 

Total 4&S() ~ l9.B 

Sector 2002 voc 2010VOC 2015VOC 

Area 8.56 9.89 10.83 

Non-road 2.80 1.93 1.67 

Mobile +.46 :h84 gg 

Point 6.52 7.24 8.42 

Total ~ n.9ll :g£l 

1 
Table 4.1 - A 

Comparison of2002, 2010, and 2015 Emission Estimates in Tons Per Summer Day, Vigo 

County 1997 8-Hour Ozone Maintenance Area (MOVES-based Onroad Emissions) 

Sector 2002 NOx 2010 NOx 2015 NOx 

Area 1.30 1.40 1.43 

Nonroad 2.53 2.01 1.53 

Onroad 14.87 7.49 4.41 

Point 33.63 12.91 12.93 

Total 52.33 23.81 20.3 

Sector 2002 voc 2010 voc 2015 voc 

Area 8.56 9.89 10.83 

Nonroad 2.80 1.93 1.67 

Onroad 5.79 3.06 1.88 

Point 6.52 7.24 8.42 

Total 23.67 22.12 22.8 

Onroad emission estimates in Table 4.1- A were calculated using U.S. EPA's MOVES modelproduced emission factors and data extracted from the area's travel-demand model. The 

MOVES model implements a significantly different approach to emissions estimation than the 

previous model (MOBILE6.0). Preliminary use of the MOVES model indicates that emission 

estimates can be considerably different than similar calculations using MOBILE6.0, whi ch was 

used to create the original MVEBs for the Vi go County, Indiana, 1997 8-hour ozone 

nonattainment 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, nomoad, and point) from the original submittal for the years 2002, 2010, and 

2015 were developed before the economic challenges of the 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 assumptions for the non-mobile sources 

for the years 2002, 2010, and 2015 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 VOC emissions in the Vigo County, Indiana, 1997 8-hour ozone maintenance area will 

continue to decline leading to local reductions between 2002 (base year) and 2010 (maintenance 

plan interim budget year), as well as 2002 (base year) and 201 5 (maintenance plan horizon 

budget year). 

2 
Transportation Conformity Budgets 

Table 5.1 was included on Page 18 of the original Redesignation Petition and Maintenance Plan 

for the Vigo County, Indiana, 1997 8-hour ozone maintenance area. Table 5.1 - A (to be 

considered a replacement of Table 5.1) has been revised to incorporate U.S. EPA's MOVES 

model-produced emission factors and data extracted from the region's travel-demand model. 

Table 5.1 

Emission Estimations for On-Road Mobile Sources for the 

Vigo County, Indiana, 1997 8-Hour Ozone Nonattainment Area 

(MOBILE6.0-based Onroad Emissions) 

2002 2010 2015 2015 Margin of 

VMT (miles/day) 3,506,570 3,669,020 3,764,676 

VOC (tons/day) +.46 ~ ~ 

NOx (tons/day) -l--h-l-0 ~ +.M 

Table 5.1- A 

Emission Estimations for Onroad Mobile Sources for the 

Vigo County, Indiana, 1997 8-Hour Ozone Nonattainment Area 

(MOVES-based Onroad Emissions) 

2002 2010 2015 

VOC (tons/day) 5.79 3.06 1.88 

NOx (tons/day) 14.87 7.49 4.41 

Safety 

10.07% 

9.88% 

Table 5.2 was also included on Page 19 ofthe original Redesignation Petition and Maintenance 

Plan for the Vi go County, Indiana, 1997 8-hour ozone maintenance area. Table 5.2 - A (to be 

considered a replacement of Table 5.2) has been revised to incorporate MVEBs calculated using 

U.S. EPA's MOVES model-produced emission factors and data extracted from the region's traveldemand model as detailed in Table 5.1 - A. 

Table 5.2 

Motor Vehicle Emission Budgets 

(MOBILE6.0-based Onroad Emissions) 

2015 tons/day 

voc ~ 

NOx ~ 

3 
Table 5.2- A 

Motor Vehicle Emission Budgets for the 

Vigo County, Indiana, 1997 8-Hour Ozone Maintenance Area 

(MOVES-based Onroad Emissions) 

2015 

VOC (tons/summer day) 2. 17 

NOx (tons/summer day) 5.07 

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

year budget of2015, would be appropriate. The interagency consultation group approved onroad 

margins of safety of fifteen percent ( 15%) for both VOC and NOx onroad emission estimates for 

the year 2015. A sunm1ary of this interagency consultation discussion can be found in Appendix 

B. These revised emission inventories clearly illustrate that omoad VOC and NOx emissions in the 

Vigo County, Indiana, 1997 8-hour ozone maintenance area will continue to decline leading to 

local reductions between 2002 (base year) and 2015 (maintenance plan horizon budget year). 

Furthermore, when compared to the overall safety margin as defined in the Code of Federal 

Regulations (CFR) at 40 CFR 93 .I 01, 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 Table 4.1 - A. MVEBs are constrained to ensure that the total emissions 

(i.e., all source categories) do not exceed the 2002 attainment year emissions of either VOC or 

NOx, thereby ensuring continued maintenance of the 1997 8-hour ozone standard. 

Conclusion 

This MOBILE6.0 to MOVES replacement update to the previously submitted Request for 

Redesignation and Maintenance Plan for Ozone Attainment in the 8-Ho·w· Ozone Basic 

Nonattainment Area, for Vigo County, Indiana incorporates omoad emission estimates and a 

revised MVEB using U.S. EPA's recently adopted MOVES model. MVEBs have been revised in 

anticipation of the mandatory use ofthe MOVES model in future transportation conformity 

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

factors and data extracted from the area's travel-demand model. Onroad safety margins for VOCs 

and NOx, established through the interagency consultation process, are included in order to account 

for the wide array of assumptions that are factored into the calculation process. MVEBs are also 

constrained to ensure that total VOC and NOx emissions (i.e., all source categories) do not exceed 

attainment year (2002) emissions to ensure continued maintenance of the 1997 8-hour ozone 

standard. With the addition of MOVES-based onroad safety margins applied to mobile sources, 

the Vigo County, Indiana, ozone maintenance area will continue to remain well below the overall 

safety margins for all sources into the future. As such, the 1997 8-hour ozone maintenance plan 

for Vigo County, Indiana, continues to meet all applicable CAA requirements. 

4 
Appendix A 

Vigo County, Indiana, Maintenance 

Area MOVES Methodology 
This page left intentionally blank 
Terre Haute 

MOVES2010a Input Data and 

Parameters 

INDOT Planning Contract 

Final Report 

October 4, 2012 

CDMih 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 Vigo County 

Appendix C- Vehicle Populations for Vigo County 

Appendix D- Meteorological Data for Vigo County 

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 Terre Haute 8-hour Ozone Maintenance Area. This report contains a 

discussion on the intended input settings used in MOVES201 Oa and the development of 

the input datasets. 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 201 Oa 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: MOVES2010a 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 Vigo County 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 LOT 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 MO BILE6.2 Light Duty Trucks in to 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 MOVES201 0 for Emission Inventory 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 metropolitan planning organization (MPO) for Terre Haute- Vigo County 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 

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

instead. 

3 
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 Vigo County 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 Request for Redesignation and Maintenance Plan for Ozone 

Attainment in the 8-hour Ozone Basic Nonattainment Area, Appendix C, developed by 

the Indiana Department of Environmental Management in October, 2005. The MOVES 

formatted meteorological data for Vigo County 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 
SiteiD 

3000 

3200 

3300 

4000 

4500 

5600 

6100 

0105 

0201 

0210 

0303 

0327 

0403 

0501 

0502 

0507 

0602 

0603 

0608 

1315 

Table 4· Inventory of Permanent Count Stations 

City County Location Road Data Quality Type 

MUNCIE DELAWARE SR332 RM 0.5 3 Closed since 9/26/2006. No 

data. 

CARMEL HAMILTON US 31 RM 125.7 5 Good 

INDY WEST MARION 1465 MM 10.0 4 Closed since 9/1/1 0 

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

LAPORTE LAPORTE SR2 RM 65.2 3 Good 

SELLERSBURG CLARK 165 MM 8.0 4 Bad sensors. Not usable. 

EVANSVILLE GIBSON 164 MM 27.9 2 Good 

TERRE HAUTE VI GO US 41 RM 104.2 3 Good-closed 11/13/08-

5/13/09 

MIDDLEBURY ELKHART SR 120 RM 13.9 3 Good- closed 8/3/10-12/6/10 

FORT WAYNE ALLEN 1-69 0.53 mi N of 4 Good SR3 

MUNCIE DELAWARE US 35 RM 44.5 5 Good 

DALEVILLE DELAWARE 169 MM 31.4 2 Good-built in 12/10/2007 

SOUTH BEND ST. JOSEPH US 20 RM 77.1 4 Good 

INDY SOUTH MARION SR 37 RM 143.5 5 Good-closed 5/22/09-6/1/09 

MARTINSVILLE MORGAN SR67RM 80.6 3 Good 

SEYMOUR JACKSON 165 MM 47.0 2 Good 

HAZLETON GIBSON SR 56 RM 0.6 3 Good 

DUBOIS DUBOIS SR 56 RM 53.3 3 Good- closed 10/16/08-

3/20/09 

EVANSVILLE VANDERBURGH SR66 RM 23.5 5 Good 

I 70 MARION 170 MM 83.5 4 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 

Years 2002, 2010, 

2015, 2020, 

2025,2030, 

2035,2040 

Pollutants/ Volatile 

Processes Organic 

Compound 

(VOC), NOx, 

and supporting 

Meteorology Summer 

#ofMOVES 8 

runs 
General Parameters: 

MOVES Input Item 

Screen Ozone 

Description Description User Choice 

Scale Domain/Scale County 

Calculation Type Emission Rate 

Time Spans Time Hour 

Aggregation 

Level 

Year 2002, 2010, 

2015, 2020, 

2025, 2030, 

2035,2040 

Months July 

Days Weekday 

Hours Select All 

Geographic Geographic Vigo County 

Bounds Bounds 

Vehicles Vehicles All Gas and 

Diesel 

Combinations 

Road Type Road Type Select All 

Pollutants/ Pollutants/ VOC, NOx, and 

Processes Processes supporting 

General Database Name Vigo Ozone 

Output Units Select "Grams" 

and "Miles" and 

"Million BTU" 

Activity Distance, 

Population 

Output On Road Select "Source 

Emissions Use Type" and 

Detail "Road Type" 
C t D t M • 

County Data Excel Sheet Tab 

Manager Input Name 

Ozone 

Source (Vehicle) sourceTypeYear Local Registration for Source Types 21, 31, and 

Type Population 32; 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 

VMT (by 13 road types developed by INDOT using an 

MOVES Vehicle analysis of permanent count station data from a 

Types) statewide data set. 

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 

INDOT using an analysis of permanent count 

station data from a statewide data set. 

Hou rVMTF raction Statewide default hourly fractions developed by 

INDOT 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 

Distribution Distribution demand model base year distributions for all 

(VMT by 5 years. 

MOVES Road 

Types) 

Age Distribution sourceTypeAge Local age distributions developed from vehicle 

(Vehicle Distribution registration data for source types 21, 31, and 32. 

Population by Default MOVES age distributions for all other 

Age of Vehicle) source types. 

Ramp Fraction RoadType Based on local travel demand model. 

Meteorology ZoneMonthHour MOBILE6 Summer Met Data Converted to 

Data MOVES format 

Fuel(% of FueiFormulation MOVES Defaults 

Market Share by FueiSupply Vigo County MOVES Defaults for Summer Fuel Type) (check if varies among counties) 

liM Program IMCoverage No Program 
Appendix B 

Viao Countv Vehicle Aae Distributions tor Viao Countv: 

Source Types 

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

0 0.2109690540 0.0212253419 0.0081779159 0.0207930917 0.0643023355 0.0545743076 0.0622220643 0.0494240790 0.0588526168 0.0787544027 0.0615095870 0.0535634660 0.0670845256 

1 0.1921154969 0.0452075694 0.0354869745 0.0502215657 0.0626728412 0.0531913309 0.0606452875 0.0481716155 0.0573612230 0.0767586735 0.0599508636 0.0535634660 0.0670845256 

2 0.1573471585 0.0488477289 0.0404455299 0.0557891149 0.0624853859 0.0530322328 0.0604638952 0.0480275345 0.0571896519 0.0765290827 0.0597715492 0.0541045093 0.0677621447 

3 0.1359771581 0.0455822917 0.0384103020 0.0466992387 0.0624229593 0.0529792497 0.0604034894 0.0479795509 0.0571325186 0.0764526251 0.0597118340 0.0575579884 0.0720873878 

4 0.1058454735 0.0506945746 0.0610938425 0.0648789910 0,0617369906 0.0523970560 0.0597397140 0.0474523026 0.0565046834 0.0756124785 0.0590556596 0.0564182312 0.0706599203 

5 0.0750909142 0.0544953294 0.0599837182 0.06567 43552 0.0559170498 0.0474575929 0.0541080614 0.0429789769 0.0511779950 0.0684845018 0.0534884926 0.0489290859 0.0612802835 

6 0.0476805323 0.0564492385 0.0628700414 0.05851607'17 0.0468365056 0.0397508123 0.0453212873 0.0359994879 0.0428670388 0.0573630896 0.0448023279 0.036603441,1 0.0458432683 

7 0.0331026886 0.0630068788 0.0694937833 0.0676059539 0.0425786431 0.0361370941 0.0412011709 0.0327268079 0.0389700355 0.0521482660 0.0407293873 0.0340742206 0.0426755959 

8 0.0197278356 0.0613473943 0.0600207223 0.0580615839 0.0468268516 0.0397426124 0.0453119367 0.0359920640 0.0428582007 0.0573512681 0.0447930981 0.0358093100 0.0448486759 

9 0.0118473747 0.0728299564 0.0640171699 0.0665833428 0.0534377006 0.0453533365 0.0517089150 0.0410733035 0.0489087668 0.0654479137 0.0511168252 0.0526288382 0.0659139597 

10 0.0053251777 0.0676106100 0.0640911782 0.0587433246 0.0532712252 0.0452120443 0.0515478328 0.0409453420 0.0487564067 0.0652440247 0.0509575859 0.0624520143 0.0782168041 

11 0.0025378610 0.0521934638 0.0564683245 0.0572662197 0.0407951886 0.0536203440 0.0411075833 0.0313560350 0.0391491717 0.0523881239 0.0302729398 0.0478258601 0.0598985955 

12 0.0013011470 0.0540135435 0.0538780343 0.0451085104 0.0331924560 0.0489936472 0.0382933197 0.0255124310 0.0294483131 0.0394065607 0.0466101866 0.0389128550 ,0.0487354179 

13 0,0006124019 0.0461443752 0.0408525755 0.0342006590 0.0277347637 0.0456089741 0.0333751020 0.0545980574 0.0316399801 0.0194774783 0.0291673253 0.0325145854 0.0462990441 

14 0.0002476898 0.0488477289 0.0435538780 0.0363595046 0.0364294706 0.03777 46681 0.0430863640 0.0632656498 0.0364439725 0.0194691525 0.0347804437 0.0427077419 ' 0.0462072388 

15 0.0001527705 0.0375525280 0.0415556542 0.0381774798 0.0283511969 0.0332950401 0.0210164622 0.0395649332 0.0357887614 0.0311848083 0.0335202065 0.0332372597 0.0300444032 

16 0.0000668536 0.0339659003 0.0335257549 0.0278377457 0.0235884296 0.0279132162 0.0253671498 0.0341566540 0.0259987277 0.0230196849 0.0233151075 0.0276536739 0.0230524492 

17 0.0000299603 0.0284521292 0.0257918887 0.0254516532 0.0175637044 0.0244970846 0.0206833627 0.0146346390 0.0197956396 0.0052258132 0.0206748599 0.0205906442 0.0138452217 

18 0.0000127409 0.0223495088 0.0235346359 0.0178388819 0.0201192241 0.0250480695 0.0266888558 0.0401958334 0.0193740288 0.0037212159 0.0155464816 0.0235865809 0.0100066460 

19 0.0000055369 0.0173442895 0.0180210184 0.0137484377 0.0225790392 0.0366610768 0.0301447753 0.0342277190 0.0227335396 0.0175775477 0.0203628520 0.0264703224 0.0098603738 

20 0.0000022027, 0.0152297851 0.0181690349 0.0159072833 0.0226407923 0.0281971934 0.0173882093 0.0270081845 0.0289395633 0.0183874556 0.0265944575 0.0265427,135 0.0095755112 

21 0.0000010015 0.0106528198 0.0172809355 0.0149982956 0.0212965445 0.0224413685 0.0209032932 0.0367430589 0.0255089927 0.0121624816 0.0238465850 0.0249667984 0.0083402541 

22 0.0000005320 0.0089665694 0.0116933097 0.0120440859 0.0221366577 0.0207614938 0.0211741003 0.0294241579 0.0211707159 0.0029207200 0.0232916866 0.0259516972 Q0021970287 

23 0.0000002372 0.0070661920 0.0112862641 0.0090898762 0.0187753208 0.0176845935 0.0186862600 0.0367365508 0.0255742899 0.0006595597 0.0173635700 0.0220110680 0.0022815392 

24 0.0000001072 0.0058081957 0.0088069864 0.0089762527 0,0165801584 0.0153441343 0.0162223474 0.0195371739 0.0181341022 0.0013228019 0.0186391363 0.0194375881 0.0028947085 

25 0.0000000515 0.0040951795 0.0066607460 0.0056811726 0.0130464803 0.0119613578 0.0125269842 0.0202862884 0.0101534224 0.0013255722 0.0189070434 0.0152949162 0.0014963357 

25 0.0000000201 0.0023018656 0.0042184725 0.0042040677 0.0052066606 0.0114707358 0.0046276161 0.0058785937 0.0158244798 0.0000000000 0.0123859355 0.0061039775 0.0003051544 

27 0.0000000084 0.0015256551 0.0029603316 0.0036359505 0.0044375500 0.0062552616 0.0034269422 0.0066192300 0.0082431519 0.0005853113 0.0073123264 0.0052023202 0.0002365920 

28 0.0000000046 0.0016327186 0.0021832445 0.0031814567 0.0038534093 0.0027153367 0.0040227141 0.0058648852 0.0078447522 0.0004224309 0.0040199156 0.0045175071 0.0007539156 

29 0.0000000027 0.0015256551 0.0007770870 0.0004544938 0.0050202650 0.0073813428 0.0039557847 0.0014702211 0.0082910352 0.0000000000 0.0005297244 0.0058854602 0.0002483418 

30 0.0000000060 0.0130349830 0.0146906454 0.0122713328 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 Vigo County for source types 21, 32, and 32, MDVES2010a default distributions for all other source types. 
Appendix C 

Vfoo Countv Vehicle Pooulations: 

Vehicle 

Populations Source Types 

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

Annual Populations 

2008 1,652 39,546 29,031 8,888 31 16 214 9 640 82 148 722 864 

2009 1,651 39,528 29,018 8,884 31 16 213 9 640 82 148 722 863 

2010 1,651 39,510 29,005 8,880 31 16 213 9 639 82 148 721 863 

2011 1,650 39,493 28.992 8,876 31 16 213 9 639 82 148 721 863 

2012 1,649 39,475 28,979 8,873 31 16 213 9 639 82 148 721 862 

2013 1,648 39,457 28,967 8,869 31 16 213 9 638 82 148 720 862 

2014 1,648 39,440 28,954 8,865 31 16 213 9 638 82 148 720 861 

2015 1,647 39,422 28.941 8,861 31 16 213 9 638 82 148 720 861 

2016 1,646 39,404 28,928 8,857 31 16 213 9 638 82 147 719 861 

2017 1,645 39,387 28,915 8,853 31 16 213 9 637 82 147 719 860 

2018 1,645 . 39,369 28.902 8,849 31 16 213 9 637 82 147 719 860 ······ 2019 1,644 39,351 28,889 8,845 31 16 212 9 637 82 147 718 860 

2020 _1,643 39,334 28,876 8,841 31 16 212 9 637 82 147 718 859 

2021 1,642 39,316 28,863 8,837 31 16 212 9 636 82 147 718 859 

2022 1,642 39,299 28,850 8,833 31 16 212 9 636 82 147 718 858 

2023 1,641 39,281 28.837 8,829 31 16 212 9 636 82 147 717 858 

2024 1,640 39,283 28,824 8,825 31 16 212 9 635 82 147 717 . 858 .... 

2025 1,640 39,246 28,811 8,821 31 16 212 9 635 82 147 717 857 

2026 1,639 39,228 28,798 8,817 31 16 212 9 635 82 147 716 857 

2027 1,638 39,211 28,786 8,813 31 16 212 9 635 82 147 716 857 

2028 1,637 39,193 28,773 8,809 31 16 212 9 634 82 147 716 856 

2029 1,637 39,176 28,760 8,805 31 16 212 9 634 81 147 715 856 

2030 1,636 39,158 28,747 8,801 31 16 211 9 634 81 147 715 855 

2031 1,635 39,141 28,734 8,797 31 16 211 9 633 81 146 715 855 

2032 1,634 39,123 28,721 8,793 31 16 211 9 633 81 148 714 855 

2033 1,634 39,106 28,708 8,790 31 16 211 9 633 81 146 714 854 

2034 1,633 39,088 28,696 8,786 31 16 211 9 633 81 146 714 854 

2035 1,632 39,071 28,683 8,782 31 16 211 9 632 81 146 713 854 

2036 1,631 39,053 28,670 8,778 31 16 211 9 632 81 146 713 853 

2037 1,631 39,036 28,657 8,774 31 16 211 9 632 81 146 713 853 

2038 1,630 39,018 28,644 8,770 31 16 211 9 632 81 146 713 852 

2039 1.629 39,001 28,631 8,766 31 16 211 9 631 81 146 712 852 

2040 1,629 38,983 28,619 8,762 31 16 211 9 631 81 146 712 852 

Source: Quality assured vehicle registratiorJ data for Vigo County 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 

\/' C t M t . I D t tgo oumv e eoroogtca a a: 

monthiD zoneiD HouriD temperature reiHumidity 

7 181670 1 69.8 87.2 

7 181670 2 68.5 91.2 

7 181670 3 67.5 94.4 

7 181670 4 66.8 96.9 

7 181670 5 66.2 98.8 

7 181670 6 65.6 100.0 

7 181670 7 65.0 100.0 

7 181670 8 65.5 100.0 

7 181670 9 68.3 92.1 

7 181670 10 72.7 79.1 

7 181670 11 77.3 67.9 

7 181670 12 81.2 59.7 

7 181670 13 84.6 53.4 

7 181670 14 86.5 50.4 

7 181670 15 87.1 49.3 

7 181670 16 87.3 49.0 

7 181670 17 86.8 49.8 

7 181670 18 85.5 51.9 

7 181670 19 83.3 55.7 

7 181670 20 80.4 61.2 

7 181670 21 77.5 67.3 

7 181670 22 75.0 73.1 

7 181670 23 73.3 77.6 

7 181670 24 71.5 82.4 

Source: Mobile 6.2 reported meteorological data from Appendix C of the Request for Redesignation and 

Maintenance Plan for Ozone Attainment in the 8-Hour Ozone Basic Nonattainment Area, Vigo County, 

Indiana prepared by IDEM on October, 2005 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 0.003973041 0.56995337 4 0.254198647 0.002831718 0.009082816 0.159960404 

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. 
Appendix F 

Indiana Default Hourly Distribution Factors for Road Tvpe 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 0.0126607789 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 0.0201622890 0.0201622890 

4 0.0140329469 0.0069658232 0.0084286563 0.0084286563 0.0234460042 0.0234460042 0.0234460042 0.0128724692 0.0128724692 0.0128724692 0.0128724692 0.0213065902 0.0213065902 

5 0.0165212405 0.0100941552 0.0134026652 0.0134026652 0.0244090660 0.0244090660 0.0244090660 0.0174195788 0.0174195788 0.0174195788 0.0174195788 0,0250478552 0.0250478552 

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 0.0386071681 0.0386071681 0.0386071681 0.0556119122 0.0556119122 0.0556119122 0.0556119122 0.0383435322 0.0383435322 

9 0.0472316355 0.0493101459 0.0541442978 0.0541442978 0.0454144773 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 0.071111 0358 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 0.0557712484 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 0.05707 47392 0.0570747392 0.07 46488056 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 0.0847160034 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 0.0462959768 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 0.0418602463 0.0261242877 0.0261242877 0.0261242877 0.0261242877 0.0421311043 0,0421311043 

22 0.0294294934 0.0312744978 0.0249803003 0.0249803003 0.0366496745 0.03664967 45 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 0.0043986387 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 0.0046485153 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 0.0153176438 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 0.0299744215 0.0299744215 0.0344245647 0.0344245647 

7 0.0397598894 0.0468485516 0.0516314034 0.0516314034 0.0496157860 0.0496157860 0.0496157860 0.0557776279 0.0557776279 0.0557776279 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 0.0568238265 0.0568238265 

10 0.0416989849 0.0427840868 0.0547852386 0.0547852386 0.1065363817 0.1065363817 0.1065363817 0.0879727734 0.0879727734 0.0879727734 0.0879727734 0.0599756501 0.0599756501 

11 0.0509391967 0.0444183487 0.0568454275 0.0568454275 0.1186794422 0.1186794422 0.1186794422 0.0886336394 0.0886336394 0.0886336394 0.0886336394 0.0633505956 0.0633505956 

12 0.0563855259 0.0512966366 0.0618918527 0.0618918527 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 0.0610818211 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 0.0681384267 0.0592922873 0.0592922873 0.0592922873 0.0774551039 0.0774551039 0.0774551039 0.0774551039 0.0609657913 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 

17 0.0916096179 0.0871890696 0.0796014405 0.0796014405 0.0317806660 0.0317806660 0.0317806660 0.0433522764 0.0433522764 0.0433522764 0.0433522764 0.0517440242 0.0517440242 

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 0.0467760851 

19 0.0685259502 0.0656330958 0.0545272751 0.0545272751 0.0120481928 0.0120481928 0.0120481928 0.0187744815 0.0187744815 0.0187744815 0.0187744815 0.0413186686 0.0413186686 

20 0.0503658989 0.0457301992 0.0390975413 0.0390975413 0.0118584575 0.0118584575 0.0118584575 0.0129711680 0.0129711680 0.0129711680 0.0129711680 0.0364127078 0.0364127078 

21 0.0353421239 0.0400621944 0.0294058171 0.0294058171 0.0096765013 0.0096765013 0.0096765013 0.0106166656 0.0106166656 0.0106166656 0.0106166656 0.0318882915 0.0318882915 

22 0.0217853168 0.0289018238 0.0218457686 0.0218457686 0.0061663979 0.0061663979 0.0061663979 0.0079972816 0.0079972816 0.0079972816 0.0079972816 0.0290264055 0.0290264055 

23 0.0119380838 0.0205028665 0.0136731866 0.01,36(31866 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 0.0114838630 0.0104500369 0.0090397680 0.0090397680 0.0186488577 0.0186488577 0.0186488577 0.0090968023 0.0090968023 0.0090968023 0.0090968023 0.0194173119 0.0194173119 

2 0.0071800855 0.0062500477 0.0056304309 0.0056304309 0.0163411464 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 0.0108999000 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 0.0820640679 0.0820640679 0.0820640679 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 0.0808088903 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 0.0671882913 0.0580384620 0.0656779676 0.0656779676 0.0619482678 0.0619482678 0.0619482678 0.0795090490 0.0795090490 0.0795090490 0.0795000490 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 0.0863864724 0.0838541123 0.0821371575 0.0821371575 0.0577256909 0.0577256909 0.0577256909 0.0563364761 0.0563364761 0.0563364761 0.0563364761 0.0551911545 0.0551911545 

18 0.0843264717 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 0.0645951265 0.0604364374 0.0543673700 0.0543673700 0.0450990958 0.0450990958 0.0450990958 0.0249336618 0.0249336618 0.0249336618 0.0.249336618 0.0487199307 0.0487199307 

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 0.0353280630 0.0293181427 0.0293181427 0.0322318571 0.0322318571 0.0322318571 0.0162446774 0,0162446774 0.0162446774 0.0162446774 0.0390319248 0.0390319248 

22 0.0316564842 0.0313403787 0.0249971308 0.0249971308 0.0282046747 0.02820467 47 0.0282046747 0.0142456600 0.0142456600 0.0142456600 0.0142456600 0.0355118446 0.0355118446 

23 0.0245992722'' 0.0251562568 0.0203505544 0.0203505544 0.0242700475 0.0242700475 0.0242700475 0.0124474.209 0.0124474209 0.0124474209 0.0124474209 0.0317711657 o.o31n11s57 

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: StateVIIide averages developed from Indiana Department of Transportation traffic count data. 
fndiana Default Hourly Distribution Factors for Road Type 5 -Urban Unrestricted Access: 

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

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 0.0191822890 0.0191822890 0.0299165403 0.0299165403 

7 0.0435184779 0.0478282898 0.0541952158 0.0541952158 0.0448331117 0.0448331117 0.0448331117 0.0418068371 0.0418068371 0.0418068371 0.0418068371 0.0436775030 0.0436775030 

8 0.0602121997 0.0721456866 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 0.0485821670 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 0.0774061573 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 

115 0.0649907135 0.0607579027 0.0667909366 0.0667909366 0.0761037810 0.0761037810 0.0761037810 0.0905726397 0.0905726397 0.0905726397 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 0.0803647101 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 0.0173341336 0.0173341336 0.0173341336 0.0173341336 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 0:0076615624 0.0076615624 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 0.0231915644 

23 0.0214502991 0.0236017051 0.0170601049 0.0170601049 0.0139442910 0.0139442910 0.0139442910 0.0053276381 0.0053276381 0.0053276381 _0.0053276381 .. 0.0193751364 0.0193751364 

24 0.0145073780 0.0159083752 0.0113147831 0.0113147831 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. 
Appendix G 

1 n d. o i 11 o ., o· t ·b r F t tana e au anv ts n u ton ac ors: 

dayiD 

monthiD 2 5 

1 0.2325411725 0.7674588275 

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 0.24397 42406 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: 

monthiD monthVMTFraction 

0. 073342401 0 

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 

Vigo County Ramp Fractions: 

Road Type 

2 

4 

Ramp 

Fraction 

0% 

5.73% 

Source: Analysis of VHT from the Terre Haute travel demand model. 
Appendix B 

Vigo, Indiana, Maintenance Area 

Interagency Consultation Group 

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

For the MOBILE6.0 to MOVES MVEB Replacement Update 

Related to the Vigo County, Indiana, Maintenance Area under 

the 1997 8-Hom· Ozone Standard 

ICG Conference Call Date and Time 

• February 13, 2013 at 1 pm Eastern 

ICG Attendees 

• Shawn Seals (IDEM), Anthony Maietta (EP A),Greg Katter (INDOT), Larry Heil 

(FHW A), Ron Hinsenkamp (WCIEDD), Dan White (WCIEDD), Seyed 

Shokouhzadeh (EMPO), and Vishu Lingala (EMPO) 

ICG Discussion Topics and Conclusions 

1. For the PM2_5 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 NO, 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 

Appendix C 

Vigo County, Indiana, Maintenance 

AreaPublic Participation 

Documentation 

• Legal Notice of Public Hearing 

o IDEM Webmaster Certification of Legal Notice Publication 

o Screenshot Verification of Legal Notice Posting on IDEM Website 

" Summary of Comments and Responses Thereto 

o No Comments Received 
This page left intentionally blank 
LEGAL NOTICE OF PUBLIC HEARING 

Motor Vehicle Emission Budget Replacement Update to the Maintenance Plan for 

the 1997 8-Hour Ozone Standard for Vigo County, Indiana 

Notice is hereby given under 40 CFR 51.1 02 that the Indiana Department of 

Environmental Management (IDEM) is accepting written comment and providing an 

opportunity for public hearing regarding the Motor Vehicle Emission Budget (MVEB) 

replacement update to the maintenance plan for the 1997 8-hour ozone standard for Vigo 

County, Indiana. Omoad emissions for the original submittal were calculated using the 

MOBILE6.2 mobile model and are now being replaced with the United States 

Environmental Protection Agency's (U.S. EPA's) recently adopted Motor Vehicle 

Emissions Simulator (MOVES) mobile model. All interested persons are invited and will 

be given reasonable opportunity to express their views concerning the submittal of the 

proposed MVEB replacement update to the Vigo County, Indiana, maintenance area for 

the 1997 8-hour ozone standard. 

The purpose of this notice is to solicit public comment on Indiana's proposed 

MVEB replacement update. Vigo County, Indiana, was designated as nonattainment for 

the 1997 8-hour ozone standard and is subject to the requirements of Section 172 of the 

Clean Air Act (CAA). One of the compliance requirements mandated by Section 

175A(b) of the CAA, is the development of a plan demonstrating that maintenance areas 

will continue to meet the 1997 8-hour ozone standard for the next ten years, which 

includes MVEBs for onroad sources, beyond the current maintenance period. This 

submittal of the proposed MVEB replacement update to the Request for Redesignalion 

and Maintenance Plan for Ozone Allainment in the 8-Hour Ozone Basic Nonallainment 

Area for Vigo County, Indiana, maintenance area that was originally submitted on July 5, 

2005, is being drafted and submitted consistent with U.S. EPA guidance. Upon 

completion of this public notice process, the MOBILE6.2-based to MOVES-based 

MVEB replacement update will be submitted to U.S. EPA for approval into the State 

Implementation Plan. 

Copies of the draft documents wi 11 be available on or before May 1 7, 2013, to any 

person upon request and at the following locations: 

• Indiana Depmiment of Environmental Management, Office of Air Quality, 

Indiana Government Center North, 100 North Senate Avenue, Room N1 003, 

Indianapolis, Indiana. 

• Vigo County Public Library, One Librm·y Square (7111 and Poplar), Terre Haute, 

Indiana. 

The draft documents will also be available on the following web page: 

http://www.in.gov/idem/airguality/2392.htm 

c- 1 
An electronic version of all MOVES mobile model input and output files will be 

available at the public hearing, if held, or upon request. 

Any person may submit written comments on the MVEB replacement update to 

the Vi go County, Indiana, 1997 8-hour ozone maintenance area on or before June 21, 

201 3. Written comments should be directed to Mr. Shawn Seals, Mail Code 61-50, 

Office of Air Quality, Indiana Department of Environmental Management, 100 North 

Senate Avenue, Indianapolis, Indiana 46204; or fax (317) 233-5967; or email at 

SSeals@idem.in.gov. Interested pmties may also present oral or written comments at the 

public hearing, if held. Oral statements will be heard, but for the accuracy ofthe record, 

statements should be submitted in writing. Written statements may be submitted to the 

attendant designated to receive written comments at the public hearing. 

A public hearing on the MVEB replacement update to the maintenance plan for the 

1997 8-hour ozone standard for Vigo County, Indiana will be held if a public hearing 

request is received by June 12,2013. A hearing has been scheduled for June 19,2013. 

The meeting will convene at 6:00p.m. (local time) at the Vigo County Public Library, 

One Library Square (7111 and Poplar), Ten e Haute, Indiana, 47807. If a request for a 

public hearing is not received by June 12, 2013, the hearing will be cancelled. Interested 

pmties can check the online IDEM calendar at http://www.in.gov/idem/5474.htm or 

contact Mr. Shawn Seals at (3 17) 233-0425, after June 12, 2013, to see ifthe hearing has 

been cancelled or will convene. 

A transcript of the hearing and all written submissions provided at the public 

hearing shall be open to public inspection at IDEM and copies may be made available to 

any person upon payment of reproduction costs. Any person heard or represented at the 

hearing or requesting notice shall be given written notice of actions resulting from the 

hearing. 

For additional information contact Mr. Shawn Seals, at the Indiana Department of 

Environmental Management, Office of Air Quality, Room N l OO l , Indiana Government 

Center Nmth, 100 North Senate Avenue, Indianapolis, IN 46204 or call (3 17) 233-0425 

or (800) 451-6027 ext. 3-0425 (in Indiana). 

******************************************************************** **** 

Individuals requiring reasonable accommodations for partidpation in this hearh1g, !f 

held, should contact the IDEM Americans with Disabilities Act (ADA) coordinator at: 

Attn: ADA Coordinator 

Indiana Department of Environmental Management - Mail Code 50-10 

1 00 North Senate A venue 

Indianapolis, IN 46204-2251 

Or call (3 17) 233-1785 (voice) or (317) 232-6565 (I'DD). Please provide a minimum of 

72 hours notification. 

c- 2 
IDEM WEBMASTER CERTIFICATION OF LEGAL NOTICE PUBLICATION 

May 22, 2013 

CERTIFICATE OF PUBLICATION 

This is to certify that the Indiana Department of Envirmm1ental Management (IDEM) 

Notice of the opportunity for a Public Hearing regarding the following: 

• Motor Vehicle Emission Budget (MVEB) Replacement Update to the 

Maintenance Plan for the 1997 8-Hour Ozone Standard for Vigo County, Indiana 

was published on IDEM's web site on May 13, 2013. It is expected that it will remain 

posted on the site until at least June 2 1, 2013. 

The notice in full was available online at the following web address, under "Western". 

http://www.in.gov/idem/5474.htm 

Web publication ofthe notice was at the request of Scott Deloney, Branch Chief, 

Programs Branch, Office of Air Quality, IDEM. 

Attachments: 

Copy of web page as published. 

By: 

Mike Finklestein 

IDEM Webmaster 

c- 3 
SCREENSHOT VERIFICATION OF LEGAL NOTICE POSTING ON IDEM WEBSITE 

Dllte &. Tme j Tme Zone I Date 

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2 3 4 

5 6 7 8 9 10 II 

12 18 14 IS 16 17 18 

19 20 21 22 23 24 25 

26 27 28 29 30 31 

ClJ'Tent time zone: Eastern Daylight Time 

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