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Traffic Data For Pavement

Traffic Data For Pavement. 2012 FHWA Highway Information Seminar, Arlington, VA Tianjia Tang, PE, Ph.D. Chief, Travel Monitoring and Surveys Division. Objective.

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Traffic Data For Pavement

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  1. Traffic Data For Pavement 2012 FHWA Highway Information Seminar, Arlington, VA Tianjia Tang, PE, Ph.D. Chief, Travel Monitoring and Surveys Division

  2. Objective To enhance the knowledge of the traffic data collection and processing professionals on the needs of traffic data for pavement design

  3. Pavement Basics Surface Base Sub-base Sub-grade

  4. Stress and Strain tension tension compression

  5. Pavement Basics Pavement is designed and constructed to meet future needs. PastPresent Future

  6. Pavement Design A set of plans covering types of materials to be used, depths of various layers, treatments of various layers, and ways to construct various layers to meet a set of performance goals (e.g., service life…) meaning to withstand cumulative deteriorations occurred during the entire design life (e.g., 25 years)

  7. Traffic Data For Existing Roadways Past and present traffic data are obtained from field observations through collection. Future traffic data are obtained through traffic demand modeling. Past and present data are used for trend analysis and calibrate and validate traffic demand models.

  8. Traffic Data For New Roadways Past and present traffic data do not exist. Future traffic data are obtained through traffic demand modeling. Past and present data are used for trend analysis and calibrate and validate traffic demand models.

  9. Concept of ESAL

  10. Equivalent Single Axle Load (ESAL) One ESAL is known to cause a quantifiable and standardized amount of damage to the pavement structure equivalent to one pass of a single 18,000-pound, dual-tire axle with all four tires inflated to 110 psi.

  11. Compute Number of ESAL AASHTO Guide for Design of Pavement of Structures The ESAL method is the so called “empirical” method.

  12. Compute ESAL W18= DD x DL X ẇ18 Where W18 is the ESAL for the design lane. W18 represents the ultimate traffic data need for pavement design DD is the traffic directional factor for a two way roadway. DL is a lane traffic splitting factor for a roadway having more than one lane in each direction ẇ18iscumulative two way ESAL projected for a roadway segment.

  13. Compute ẇ18 Information needed: • The number of axles for various axle configurations under various axle loads from Traffic Demand Modeling • Axle load equivalence factors - to be obtained from AASHTO’s Guide Appendix D

  14. Compute ẇ18

  15. Compute ẇ18

  16. Compute ẇ18

  17. Critical Traffic Data

  18. Mechanistic-Empirical Method

  19. Traffic Data Needed for Input 1: Opening Year Two Way Annual Average Daily Truck Traffic

  20. Traffic Data Needed for Input 2: Percent of Truck Traffic in Design Direction %

  21. Traffic Data Needed for Input 3: Percent of Truck Traffic in Design Lane %

  22. Traffic Data Needed for Input 4: Truck Monthly Adjustment Factor The Truck Monthly Adjustment Factor (MAF) reflects truck travel patterns throughout the year

  23. Traffic Data Needed for Input MAF

  24. Traffic Data Needed for Input MAF

  25. Traffic Data Needed for Input -MAF MAF for month i and class j truck

  26. Traffic Data Needed for Input 5: Vehicle Class Distribution Vehicle class distribution (VCD) refers to AADTT distribution among the 10 vehicle types

  27. Traffic Data Needed for Input 6: Truck Hourly Distribution Factor (THDF) Truck hourly distribution factor refers to the percentage of hourly AADTT among a 24 hour time period starting at midnight. There are 24 THDFs

  28. Traffic Data Needed for Input

  29. Traffic Data Needed for Input Axle Load Factor FHWA vehicles in class 4 to 13 can have a variety of axle configurations including single axle, tandem axle, tridem axle, and quad axle

  30. Traffic Data Needed for Input Single Axle Configuration Axle Load Factor There are 39 axle weight groups for single axle configuration vehicles. The axle weight group ranges from 3,000 lbs to 41,000 lbs with increments of 1,000 lbs. The computation of the ALF data is based on MAADT for a particular vehicle class and axle weight group

  31. Traffic Data Needed for Input Tandem, Tridem, and Quad Axle Vehicles For tandem axle vehicles, the axle weight group starts at 6,000 lbs and ends at 82,000 lbs with increment s of 2000 lbs. For both tridem and quad axle vehicles, the axle weight group start at 12,000 lbs and ends at 102,000 lbs with increments of 3000 lbs.

  32. Traffic Data Needed for Input – Single Axle

  33. Traffic Data Needed for Input 7: Number of Axle Types per Truck Class The number of axles per vehicle class for a given axle configuration is an annual average number of axles per vehicle category (per vehicle class and vehicle axle configuration).

  34. Traffic Data Needed for Input

  35. Traffic Data Needed for Input • 8: Axle Spacing • Axle spacing data are only applicable to tandem, tridem and quad vehicles. It is the distance between two consecutive tandem, tridem, and quad axles.

  36. Traffic Data Needed for Input • 9: Average Axle Width: • The distance between the two outside edges of an axle is defined as axle width

  37. Traffic Data Needed for Input 10: Wheelbase The distance between the steering and the first device axle of a tractor or a heavy single unit

  38. Traffic Data Needed for Input

  39. Traffic Data Needed for Input

  40. Summary Time frame Pavement layers ESAL Mechanistic and Empirical

  41. Q/A

  42. Thanks you!Traffic Data For Pavement 2012 FHWA Highway Information Seminar, Arlington, VA Tianjia Tang, PE, Ph.D. Chief, Travel Monitoring and Surveys Division

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