Exhibit 3 – Sample	MOVES	Input	Files

This appendix provides a partial recreation of locally derived MOVES County Data Manager inputs 

utilized by ARC to produce the both the eight-hour ozone and the annual PM2.5 maintenance plan

emissions inventories. Only 13-county 2008 ozone data is demonstrated and the tables are abbreviated 

where noted. A full set of inputs for all combinations of counties and pollutants are available, by 

request.

Table 1 – Age Distribution (abbreviated from 404 rows)

sourceTypeID yearID ageID ageFraction

21 2008 0 0.023802

21 2008 1 0.071207

21 2008 2 0.068707

21 2008 3 0.077108

21 2008 4 0.072907

21 2008 5 0.067107

21 2008 6 0.068907

21 2008 7 0.065607

21 2008 8 0.076308

21 2008 9 0.061806

21 2008 10 0.055906

21 2008 11 0.046105

21 2008 12 0.039904

21 2008 13 0.037004

21 2008 14 0.032503

21 2008 15 0.026703

21 2008 16 0.021402

21 2008 17 0.016602

21 2008 18 0.012601

21 2008 19 0.008901

21 2008 20 0.005401

21 2008 21 0.0032

21 2008 22 0.0026

21 2008 23 0.0023

21 2008 24 0.002035

21 2008 25 0.0018

21 2008 26 0.001592

21 2008 27 0.001409

21 2008 28 0.001246
Table 2 – Average Speed Distribution (abbreviated from 19,969 rows)

sourceTypeID roadTypeID hourDayID avgSpeedBinID avgSpeedFraction

11 2 15 6 0.00104

21 2 15 6 0.00104

31 2 15 6 0.00104

32 2 15 6 0.00104

41 2 15 6 0.00104

42 2 15 6 0.00104

43 2 15 6 0.00104

51 2 15 6 0.00104

52 2 15 6 0.00104

53 2 15 6 0.00104

54 2 15 6 0.00104

61 2 15 6 0.00104

62 2 15 6 0.00104

11 2 15 7 0.00094

21 2 15 7 0.00094

31 2 15 7 0.00094

32 2 15 7 0.00094

41 2 15 7 0.00094

42 2 15 7 0.00094

43 2 15 7 0.00094

51 2 15 7 0.00094

52 2 15 7 0.00094

53 2 15 7 0.00094

54 2 15 7 0.00094

61 2 15 7 0.00094

62 2 15 7 0.00094

11 2 15 8 0

21 2 15 8 0

31 2 15 8 0

32 2 15 8 0

41 2 15 8 0

42 2 15 8 0

43 2 15 8 0

51 2 15 8 0

52 2 15 8 0

53 2 15 8 0

54 2 15 8 0

61 2 15 8 0

62 2 15 8 0
Table 3 – Fuel Supply

countyID fuelYearID monthGroupID fuelFormulationID marketShare marketShareCV

13121 2008 7 2334 0.428571 0.5

13121 2008 7 7733 0.571429 0.5

13121 2008 7 20043 1 0.5
Table 4 – Fuel Formulation (abbreviated from 8,930 rows)

Fuel

Formulation

ID

fuelSub

typeID RVP sulfurLevel

ETOH

Volume

MTBE

Volume

ETBE

Volume

TAME

Volume

Aromatic

Content

Olefin

Content

Benzene

Content e200 e300 BioDieselEsterVolume

Cetane

Index

PAH

Content

10 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0

96 10 8.7 338 0 0 0 0 26.4 11.9 1.64 50 83 0 0 0

97 10 6.6 150 0 11.7581 0 0 24 11 0.8 52 84 0 0 0

98 10 6.9 30 0 0 0 0 26.1 5.6 1 41.09 83.09 0 0 0

99 10 6.9 90 0 0 0 0 26.1 5.6 1 41.09 83.09 0 0 0

4045 10 12.5 290.1 0 0.8 0 0 27.1 10.7 0.9 50.1 81.2 0 0 0

4046 10 10.3286 261.24 0 1.6 0 0 29.6 10.7 1 45.7 79.8 0 0 0

4047 10 8.7 261.24 0 1.6 0 0 29.6 10.7 1 45.7 79.8 0 0 0

4048 10 8.7 239.6 0 2.1 0 0 31.5 10.7 1 42.3 78.8 0 0 0

4049 10 12.5 307.5 0 0.6 0 0 26.7 11.3 0.9 50.7 81.2 0 0 0

4050 10 10.3286 275.67 0 1.5 0 0 29.4 11.2 1 46.1 79.7 0 0 0

4051 10 8.7 275.67 0 1.5 0 0 29.4 11.2 1 46.1 79.7 0 0 0

4052 10 8.7 251.8 0 2.1 0 0 31.3 11.2 1.1 42.6 78.6 0 0 0

4053 10 12 150.32 0 0.1 0 0 19.4 6.8 1.2 55.3 85.1 0 0 0

4054 10 10.5333 187.56 0 0.3 0 0 23.1 9 1.3 50.6 83.8 0 0 0

4055 10 9.43333 215.48 0 0.4 0 0 25.9 10.7 1.4 47 82.8 0 0 0

4056 10 8.7 215.48 0 0.4 0 0 25.9 10.7 1.4 47 82.8 0 0 0

4057 10 8.7 234.1 0 0.4 0 0 27.7 11.8 1.5 44.6 82.2 0 0 0

4058 10 8.71834 215.48 0 0.4 0 0 25.9 10.7 1.4 47 82.8 0 0 0

4080 10 12.3 337.4 0 1 0 0 24.9 11.1 0.8 50.3 81.3 0 0 0

4081 10 8.7 356.4 0 1.7 0 0 30.6 10.2 1 43.5 79.2 0 0 0

4082 10 12.5 291.2 0 0.8 0 0 27 10.8 0.9 50.2 81.3 0 0 0

4083 10 10.3286 262.11 0 1.6 0 0 29.6 10.7 1 45.7 79.8 0 0 0
Table 5 – I/M Program (abbreviated from 49 rows)

Pol

Process

ID

State

ID

count

yID

year 

ID

Source

TypeID

Fuel

Type

ID

IMProgram

ID

begModel

YearID

endModel

YearID

Inspect

Freq

Test

Standards

ID

Use

IMyn

Compliance

Factor

101 13 13121 2008 21 1 3 1992 1995 1 23 Y 94.09

101 13 13121 2008 31 1 3 1992 1995 1 23 Y 88.44

101 13 13121 2008 32 1 3 1992 1995 1 23 Y 82.8

101 13 13121 2008 21 1 1 1996 2013 1 51 Y 94.09

101 13 13121 2008 31 1 1 1996 2013 1 51 Y 88.44

101 13 13121 2008 32 1 1 1996 2013 1 51 Y 82.8

102 13 13121 2008 21 1 3 1992 1995 1 23 Y 94.09

102 13 13121 2008 31 1 3 1992 1995 1 23 Y 88.44

102 13 13121 2008 32 1 3 1992 1995 1 23 Y 82.8

102 13 13121 2008 21 1 1 1996 2013 1 51 Y 94.09

102 13 13121 2008 31 1 1 1996 2013 1 51 Y 88.44

102 13 13121 2008 32 1 1 1996 2013 1 51 Y 82.8

112 13 13121 2008 21 1 4 1992 1995 1 41 Y 97

112 13 13121 2008 31 1 4 1992 1995 1 41 Y 97

112 13 13121 2008 32 1 4 1992 1995 1 41 Y 97

112 13 13121 2008 21 1 2 1996 2013 1 45 Y 97

112 13 13121 2008 31 1 2 1996 2013 1 45 Y 97

112 13 13121 2008 32 1 2 1996 2013 1 45 Y 97

113 13 13121 2008 21 1 4 1992 1995 1 41 Y 97

113 13 13121 2008 31 1 4 1992 1995 1 41 Y 97

113 13 13121 2008 32 1 4 1992 1995 1 41 Y 97

113 13 13121 2008 21 1 2 1996 2013 1 45 Y 97

113 13 13121 2008 31 1 2 1996 2013 1 45 Y 97

113 13 13121 2008 32 1 2 1996 2013 1 45 Y 97

201 13 13121 2008 21 1 3 1992 1995 1 23 Y 94.09
Table 6 – Meteorology

monthID zoneID HourID temperature relHumidity

7 131210 1 71.71 82.25

7 131210 2 70.31 83.65

7 131210 3 69.29 85.53

7 131210 4 68.49 86.85

7 131210 5 67.82 87.83

7 131210 6 67.21 88.96

7 131210 7 67.19 89.19

7 131210 8 69.79 85.91

7 131210 9 74.04 78.88

7 131210 10 78.73 70.22

7 131210 11 82.63 62.95

7 131210 12 85.50 57.15

7 131210 13 87.41 53.18

7 131210 14 88.70 50.45

7 131210 15 89.11 49.30

7 131210 16 89.37 48.66

7 131210 17 89.12 48.73

7 131210 18 88.16 49.96

7 131210 19 85.91 53.67

7 131210 20 82.85 59.71

7 131210 21 78.92 67.70

7 131210 22 76.22 73.15

7 131210 23 74.39 76.72

7 131210 24 72.89 79.77

Table 7 – Ramp Fraction

roadTypeID rampFraction

2 0.0009

4 0.0696
Table 8 – Road Type Distribution (abbreviated from 66 rows)

sourceTypeID roadTypeID roadTypeVMTFraction

11 1 0

11 2 0.073787

11 3 0.164518

11 4 0.337517

11 5 0.424178

21 1 0

21 2 0.073787

21 3 0.164518

21 4 0.337517

21 5 0.424178

31 1 0

31 2 0.073787

31 3 0.164518

31 4 0.337517

31 5 0.424178

32 1 0

32 2 0.073787

32 3 0.164518

32 4 0.337517

32 5 0.424178

41 1 0

41 2 0.073787

41 3 0.164518

41 4 0.337517

41 5 0.424178

42 1 0

42 2 0.073787

42 3 0.164518

42 4 0.337517

42 5 0.424178

43 1 0

43 2 0.073787

43 3 0.164518

43 4 0.337517

43 5 0.424178

51 1 0

51 2 0.073787

51 3 0.164518

51 4 0.337517

51 5 0.424178

52 1 0

52 2 0.073787

52 3 0.164518
Table 9 – Source Type Population

yearID sourceTypeID sourceTypePopulation

2008 11 73864

2008 21 2001377

2008 31 1121306

2008 32 366902

2008 41 1229

2008 42 753

2008 43 12261

2008 51 1490

2008 52 47443

2008 53 3352

2008 54 4689

2008 61 24206

2008 62 13711

Table 10 – HPMSvTypeYear

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2008 100838332.4 0

20 2008 24962627984 0

30 2008 16903826823 0

40 2008 270003514.9 0

50 2008 1198697478 0

60 2008 1441642047 0

Table 11 – Month VMT Fraction (abbreviated from 157 rows)

sourceTypeID isLeapYear monthID monthVMTFraction

11 Y 1 0.072904

11 Y 2 0.072023

11 Y 3 0.081529

11 Y 4 0.082098

11 Y 5 0.087285

11 Y 6 0.088052

11 Y 7 0.092096

11 Y 8 0.093198

11 Y 9 0.08447

11 Y 10 0.086301

11 Y 11 0.080029

11 Y 12 0.080015
Table 12 – Day VMT Fraction (abbreviated from 1561 rows)

sourceTypeID monthID roadTypeID dayID dayVMTFraction

11 1 1 2 0.237635

11 1 1 5 0.762365

11 1 2 2 0.237635

11 1 2 5 0.762365

11 1 3 2 0.237635

11 1 3 5 0.762365

11 1 4 2 0.237635

11 1 4 5 0.762365

11 1 5 2 0.237635

11 1 5 5 0.762365

11 2 1 2 0.237635

11 2 1 5 0.762365

11 2 2 2 0.237635

11 2 2 5 0.762365

11 2 3 2 0.237635

11 2 3 5 0.762365

11 2 4 2 0.237635

11 2 4 5 0.762365

11 2 5 2 0.237635

11 2 5 5 0.762365
Table 13 – Hour VMT Fraction (abbreviated from 1561 rows)

sourceTypeID roadTypeID dayID hourID hourVMTFraction

11 1 5 1 0.00986

11 1 5 2 0.00627

11 1 5 3 0.00506

11 1 5 4 0.00467

11 1 5 5 0.00699

11 1 5 6 0.01849

11 1 5 7 0.04596

11 1 5 8 0.06964

11 1 5 9 0.06083

11 1 5 10 0.05029

11 1 5 11 0.04994

11 1 5 12 0.05437

11 1 5 13 0.05765

11 1 5 14 0.05803

11 1 5 15 0.06226

11 1 5 16 0.071

11 1 5 17 0.07697

11 1 5 18 0.07743

11 1 5 19 0.05978

11 1 5 20 0.04439

11 1 5 21 0.03545

11 1 5 22 0.03182

11 1 5 23 0.02494

11 1 5 24 0.01791