Pavement Performance Curves: Modeling Pavement Deterioration for SCDOT

Details

• Creators:
  Huynh, Nathan ; Gassman, Sarah ; Mullen, Robert ; Pierce, Charles E. ; Kouyate, Amara
• Corporate Creators:
  University of South Carolina. Dept. of Civil & Environmental Engineering
• Corporate Contributors:
  South Carolina Department of Transportation. Office of Materials and Research ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  • Asphalt
  • Concrete
  • Curves (Geometry)
  • Pavement performance
  • Rehabilitation (Maintenance)
  • Service life
  • Pavement management systems
• Publication/ Report Number:
  FHWA-SC-22-01
• Resource Type:
  Tech Report
• Geographical Coverage:
  South Carolina;United States
• Edition:
  Final Report
• Corporate Publisher:
  South Carolina. Department of Transportation
• Abstract:
  The current SCDOT pavement performance models were formulated in 1989 by PMS Inc. (now known as Stantec) with assistance from SCDOT personnel, and they were based on engineering experience of pavement performance in South Carolina. Since their initial development, the parameters of the adopted sigmoidal, or S-shaped, function have not been updated. The purpose of this project was to evaluate the performance of these models using post 2000 pavement roughness and distress data collected by the SCDOT, and if they no longer reflect the pavement degradation behavior due to changes in materials and construction practices, determine the new parameter values that should be used. The model evaluation focused on the top five maintenance activities performed on interstates and the top five activities performed on primary routes in the last ten years in South Carolina. With different pavement types on the interstates and a separate model for pavement serviceability index (PSI) and pavement distress index (PDI), a total of 14 interstate models were evaluated using pavement roughness and distress data collected from 2000 to 2020 on 117 road sections that span 953 lane-miles. The SCDOT’s maintenance records were supplemented with a search of paper records to determine the year in which a maintenance treatment was applied. All 14 interstate models were recommended to have their parameters updated based on the criterion that they yield at least 5% relative improvement. The average improvement in prediction accuracy of the recommended parameters compared to the current ones for the interstate models using the metric Mean Absolute Percentage Error (MAPE) is 46%. For primary routes, consisting of only asphalt pavements, a total of ten models (five for PSI and five for PDI) were evaluated using data from 294 road sections that span 1,116 lane-miles. As was the case with interstate models, all ten primary route models were recommended to have their parameters updated, with an average relative improvement of 58%.
• Format:
  PDF
• Funding:
  SPR No. 743
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/61090/dot_61090_DS1.pdf
• File Type:
  [PDF - 6.69 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:bff30c7e971b72fab13ae4911fdebb02cb022ba65ba284774f5e28e1bcea28b915b77180ad46cacb3a03ddd8f68a6964f6018053c53a215f94c82f32b0503309