PaveDAT

1. PaveDAT Pavement Damage Assessment Tool Roger Mingo, P.E. R.D. Mingo and Associates

2. Origin • FHWA Need: Easy-to-Use Pavement Damage Assessment Tool • Needed Alternative to ESALs • Joint Research Project of FHWA’s Offices of Policy and Freight Management and Operations • PaveDAT: Simplified Version of NAPCOM (National Pavement Cost Model)

3. Approach • Used ME-PDG (Mechanistic-Empirical Pavement Design Guide) • ARA Designed MEPDG, Auburn University Helped with Application • Applied Model Thousands of Times to Derive New Pavement Damage Equivalence Factors

4. Load Equivalence Factors (LEFs) • ESALs (Equivalent Single Axle Loads)– One Type of LEF • ESALs Based on 50-Year-Old Study in Single Location • ESALs Widely Seen as Outdated and Based on Many Assumptions • New LEFs Developed for PaveDAT and NAPCOM Independent of ESALs

5. Overview of PaveDAT • Model estimates pavement costs for specific vehicles and types of trips • Model can use national average data, state default data, or user-supplied data • After state customization, as needed, model is simple to use • User supplies vehicle axle weights and trip information

6. User Inputs • Axle weight for each axle group (tandems and tridems are each considered one axle group) • Number of axles in each group • Miles of travel on Interstate, State, and Local roads

7. Results • Cents per mile of travel • Total costs in dollars • Costs shown by highway system as well as for total trip

9. 97,000- Lb Six-Axle Truck (3S3) Results

10. 80,000-Lb Five-Axle Truck (3S2) User Inputs

11. 80,000-Lb Five-Axle Truck (3S2) Results

12. 71,000-Lb Five-Axle Truck (3S2) User Inputs

13. 71,000-Lb Five-Axle Truck (3S2) Results

14. Pavement Cost Comparison Example

15. Pavement Cost Comparison Example

16. Pavement Cost Comparison Example

17. Pavement Cost Comparison Example

18. Specifying A Base Vehicle

19. 97,000- Lb 3S3 Compared to 71,000 Base

20. 88,000- Lb 3S2 Compared to 71,000 Base

21. 80,000- Lb 3S2 Compared to 71,000 Base

22. Overview of Underlying Elements • Load Equivalence Factors (LEFs) based on thousands of runs of latest pavement models • Weight data for vehicle fleet comes from millions of WIM observations • Costs per mile based on national current pavement expenditures per truck mile • Load-related share of pavement costs based on recent state cost-allocation studies

23. Load Equivalence Factor Example

24. Estimating Target Number of Axles

25. Load Equivalence Factor Example (Continued)

26. Overview of Underlying Elements • Load Equivalence Factors (LEFs) based on thousands of runs of latest pavement models • Weight data for vehicle fleet comes from millions of WIM observations • Costs per mile based on national current pavement expenditures per truck mile • Load-related share of pavement costs based on recent state cost-allocation studies

27. Overview of Underlying Elements • Load Equivalence Factors (LEFs) based on thousands of runs of latest pavement models • Weight data for vehicle fleet comes from millions of WIM observations • Costs per mile based on national current pavement expenditures per truck mile • Load-related share of pavement costs based on recent state cost-allocation studies

28. Options to Customize • States can use their pavement knowledge to modify pavement distress distributions • States can enter their own detailed pavement cost information • States can update WIM data • States can combine and weight the default data from adjacent states

29. Current Status • PaveDAT Was Completed in 2011 • Presentations Made to 5 Pilot States • Application So Far Has Been for Special Studies • Applied in Some Form in Oregon, DC, and Wisconsin • Texas is Adapting Model for Its Use