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PaveDAT

PaveDAT, developed by Roger Mingo and associates, is an intuitive tool designed for assessing pavement damage and costs effectively without relying on outdated ESALs (Equivalent Single Axle Loads). Created through a collaborative effort of the FHWA's Offices of Policy, Freight Management, and Operations, it simplifies the NAPCOM approach for current usage. The tool uses Load Equivalence Factors (LEFs) based on comprehensive models and vehicle data to accurately evaluate roadway costs based on user-inputted vehicle and trip information. PaveDAT facilitates better pavement management through customizable data inputs for state-specific applications.

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PaveDAT

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Single Axle Loads)– One Type of LEF • ESALs Based on 50-Year-Old Study in Single Location • ESALs Widely Seen as Outdated and Based on Many Assumptions • New LEFs Developed for PaveDAT and NAPCOM Independent of ESALs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

  8. 97,000- Lb Six-Axle Truck (3S3) Results

  9. 80,000-Lb Five-Axle Truck (3S2) User Inputs

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

  11. 71,000-Lb Five-Axle Truck (3S2) User Inputs

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

  13. Pavement Cost Comparison Example

  14. Pavement Cost Comparison Example

  15. Pavement Cost Comparison Example

  16. Pavement Cost Comparison Example

  17. Specifying A Base Vehicle

  18. 97,000- Lb 3S3 Compared to 71,000 Base

  19. 88,000- Lb 3S2 Compared to 71,000 Base

  20. 80,000- Lb 3S2 Compared to 71,000 Base

  21. 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

  22. Load Equivalence Factor Example

  23. Estimating Target Number of Axles

  24. Load Equivalence Factor Example (Continued)

  25. 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

  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. 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

  28. 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

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