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PaveDAT. Pavement Damage Assessment Tool Roger Mingo, P.E. R.D. Mingo and Associates. 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
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PaveDAT Pavement Damage Assessment Tool Roger Mingo, P.E. R.D. Mingo and Associates
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)
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
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Single Axle Loads)– One Type of LEF • ESALs Based on 50-Year-Old Study in Single Location • ESALs Widely Seen as Outdated and Based on Many Assumptions • New LEFs Developed for PaveDAT and NAPCOM Independent of ESALs
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
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
Results • Cents per mile of travel • Total costs in dollars • Costs shown by highway system as well as for total trip
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
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
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
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
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