Traffic Data Quality Control Report

This document presents an overview of traffic data quality control reports and organizational charts related to travel monitoring and surveys. It includes data such as traffic volume, vehicle classification, AADT, and HPMS analysis. The report also covers extreme value checks and HPMS data related to single-unit vehicles and combination trucks.

• Traffic Data
• Quality Control
• HPMS Analysis
• Organizational Chart
• Travel Monitoring

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1. Traffic Data QA/QC WV DOT 8/25/2017

2. Organizational Chart Travel Monitoring and Surveys Tianjia Tang, PE Team Lead Highway System Performance Chris Allen Team Lead Motor Fuel and Tax Evasion Ralph Davis Team Lead Danny Jenkins, PE Steven Jessberger Adella Santos Wenjing Pu, PE Patrick Zhang, PE Dawn Edwards Justin Clarke Ron Erickson Tom Roff Rob Rozycki Ron Vaughn Empty FTE Mike Dougherty Bryant Gross Clarissa Smith Brian Lomax Helen Davidson 2

3. Traffic Data and HPMS Traffic Volume Vehicle Classification AADT AADT Single Unit K Factor % Peak Single D Factor AADT Combination Future AADT % Peak Combination VMT summary data Ramp AADT Metadata Vehicle Summary Table

4. AADT - Full extent data 1 2 3 4 5 6 7 Functional System NHS Int OFE OPA MiA MaC MiC Local Rural FE+R FE+R FE+R FE+R FE+R FE+R Urban FE+R FE+R FE+R FE+R FE+R FE+R FE+R FE = Full Extent R = Ramp 4

5. AADT Full extent data item AADT is a full extend data item for rural FC=1 to 5, urban FC=1 to 6. It should not be 0 or null 1.Facility_Type_VN <=3, F_System_VN=1,2,3,4,5 AADT_VN=0? =null? 2.Facility_Type_VN <=3, F_System_VN=6, Urban_Code_VN<>99999, AADT_VN=0? =null?

6. SAS Run AADT Extreme Value Check Check extreme values by looking the percentile for all classes 28JUN2016 HPMS Traffic Data Quality Review extreme value of urban FC=3 Percentiles Obs x0 1 201 3200 4390 5710 12130 18740 27170 46170 52130 77960 104340 x1 x3 x5 x25 x50 x75 x95 x97 x99 x100

7. HPMS - AADT Single Unit Vehicle & Combination Truck Function al System 1 2 3 4 5 6 7 NHS Int OFE OPA MiA MaC MiC Local Rural FE FE SP SP SP SP Urban FE FE SP SP SP SP SP FE = Full Extent R = Ramp SP= Sample Panel 7

8. Truck AADT (full extent & sample panel) Truck AADT data is a full extend data item for interstate, and NHS and sample panel data for other function classes 1. Facility_Type_VN <=3, F_System_VN=1, AADT_Single_Unit_VN=null? AADT_ Combination_Truck_VN =null? 2. Facility_Type_VN <=3, NHS_VN=1, AADT_Single_Unit_VN=null? AADT_ Combination_Truck_VN =null? 3. Facility_Type_VN <=3, Is_sample=1, AADT_Single_Unit_VN=null? AADT_ Combination_Truck_VN =null?

9. Truck AADT Check data if AADT Single Unit > 50% of AADT AADT Combination > 50% of AADT AADT Single Unit + AADT Combination > AADT AADT Single Unit = AADT Combination 9

10. HPMS Future AADT, K factor, D-factor Function al System 1 2 3 4 5 6 7 NHS Int OFE OPA MiA MaC MiC Local Rural SP SP SP SP SP SP Urban SP SP SP SP SP SP SP FE = Full Extent R = Ramp SP= Sample Panel 10

11. K Factor Sample Panel Data The proportion of AADT occurring in the analysis hour HPMS uses the design hour volume for the 30th highest hour (K30) Hour 8760 3400 3000 2500 2000 1500 AADT = 10,000 Analysis Hour Volume = 900 K Factor = 900/10,000 = 9% 1000 500 0 Hour 1

12. K-Factor Facility_Type_VN <=3, Is_sample=1, K_FACTOR_VN=null? K_FACTOR <= 4.0% -- Questionable 4.0% < K_factor <= 7.0% -- caution 7.0% < K_factor <= 12.0% -- acceptable 12.0% < K_factor <= 16.0% -- caution K_FACTOR > 16.0% -- Questionable

13. D Factor-sample panel data The proportion of design hour volume (selected hour) flowing in the peak direction Design Hour Volume = 900 Directional Volumes = 540 EB & 360 WB D Factor = 540/900 = 0.6

14. D-Factor Facility_Type_VN <=3, Is_sample=1, D_FACTOR_VN=null? Urban D factor =<30% Questionable 30.0% < D factor <= 70% Acceptable 70.0% < D factor <= 85% Caution D factor >85% Questionable Rural D factor =<40% Questionable 40.0% < D factor <= 60% Acceptable 60.0% < D factor <= 65% Caution D factor >65% Questionable 14

15. Future AADT Is future AADT missing: Facility_Type_VN <=3, Is_sample=1, Future_AADT_VN=null? Calculate Average Annual Growth Rate (AAGR) for all segments AAGR= (????_?????? ????_?????)1/20 1 28JUN2016 HPMS Traffic Data Quality Review Future AADT Annual Growth Rate Analysis AADT_Future=AADT_Now(1+APR)^20 F_SYSTEM_V apr_rate N Obs Variable 53 length exp_length 6 length exp_length 13 length exp_length 33 length exp_length 167 length exp_length 9 length exp_length 14 length exp_length Sum 79.40 199.33 2.03 2.93 0.07 0.17 19.39 48.05 254.66 641.42 11.95 14.55 1.48 4.70 1 A: lower than -1.5% B: -1.5% to -1.0% C:-1.0% to -.05% D: -0.5% to 0 F: 0 to 0.30% G: 0.3% to 0.5% H: 0.5% to 1.0%

16. % Peak SU or CU Calculation HPMS Percent Peak Calculation Graphic 700 600 Use the 24 Hour Total Volume (AADT) for the equation denominator. V o l u m e 500 400 Use the CU or SU Volume in the Peak Hour in the equation numerator. 300 200 100 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 16 Hour of Day Peak Hour Volume CU Count SU Count

17. Pct Peak Single and Pct Peak Combination Pct Peak Single x AADT > AADT Single Unit Pct Peak Combination x AADT > AADT Combination GIS check by area

18. Vehicle Summary Data 18

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21. Vehicle Summary Data (VMT%) 6 vehicle types by 6 function class groups, trend of each of 36 VMT% States are expected to use FHWA vehicle summary data procedure Dramatic changes will be altered and asked to resubmit

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23. VMT vs Fuel Consumption ANNUAL VEHICLE DISTANCE TRAVELED IN MILES AND RELATED DATA - 2015 (1) BY HIGHWAY CATEGORY AND VEHICLE TYPE Jan 2017 Table VM-1 YEAR ITEM LIGHT DUTY VEHICLES SHORT WB 2/ CYCLES 133,747 130,679 221,643 217,799 212,993 210,090 383,245 364,071 1,196,213 1,149,432 2,147,840 2,072,071 90,017,583 89,300,790 23.9 23.2 LIGHT DUTY VEHICLES LONG WB 2/ TRUCKS 3/ 42,100 42,020 86,304 86,993 88,206 88,936 94,124 93,591 321,118 326,945 631,852 638,484 36,436,054 37,342,987 17.3 17.1 MOTOR VEHICLES MOTOR- BUSES 6/ SINGLE-UNIT COMBINATION TRUCKS 2015 2014 2015 2014 2015 2014 2015 2014 2015 2014 2015 2014 2015 2014 2015 2014 Interstate Rural 1,185 1,114 2,710 2,681 2,790 2,953 2,530 2,422 10,391 10,800 19,606 19,970 447,879 2,228,059 458,628 2,233,219 43.8 43.5 1,643 1,533 1,966 2,022 2,002 1,986 2,521 2,373 8,098 8,085 16,230 15,999 9,623 9,255 16,171 16,330 16,174 17,076 17,540 16,498 50,089 50,143 109,597 109,301 14,850,153 14,893,865 47,468 46,770 28,636 29,295 13,543 13,395 41,227 40,889 39,372 39,480 170,246 169,830 28,884,134 172,863,862 29,117,656 173,347,146 5.9 5.8 235,766 231,372 357,431 355,119 335,708 334,436 541,186 519,843 1,625,282 1,584,885 3,095,373 3,025,656 Other Arterial Rural Other Rural Interstate Urban Other Urban Total Rural and Urban 5/ Fuel consumed (thousand gallons) Average miles traveled per gallon of fuel consumed 7.3 7.2 7.4 7.3 17.9 17.5 23 Note: this check DOES NOT work well for geographically small state

24. VMT vs Population VMT per Capita? This works well for states with large populations. Through traffic play important role for states with small populations Check neighboring states with similar climate and comparable population 24

25. Total VMT% of Change Population growth % TMAS Growth Factor Report 10% and 30% GDP growth % Fuel Consumption % 25

26. VMT by Functional Classes States will be alerted and expected to explain any large changes Urban boundary changes Roadway reclassifications Methodology updates