Development of Pavement Performance Models Using New Breakpoints and Pretreatment Conditions

Details

• Creators:
  Chen, Don ; Nicholas II, Thomas
• Corporate Creators:
  University of North Carolina at Charlotte
• Corporate Publisher:
  North Carolina. Department of Transportation. Research and Analysis Group
• Corporate Contributors:
  North Carolina. Dept. of Transportation. Research and Analysis Group ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  • Forecasting
  • Pavement distress
  • Pavement management systems
  • Performance
  • Traffic loads
  • AADTT
  • Pre-Treatment Conditions
  • Distress Model
  • Performance Model
  • Sigmoidal Curve
• Publication/ Report Number:
  FHWA/NC/2020-14
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report August 2019 – December 2021
• Description:
  Previous studies indicated that two factors, traffic loading parameter and pre-treatment pavement condition, can have significantly impact on pavement performance and should be considered when developing pavement performance models. This study was conducted to use these two factors to develop new pavement performance models for the NCDOT Pavement Management System (PMS). A new traffic load indicator, AADTT, was selected and then its breakpoints were determined. These breakpoints, together with thresholds of pre-treatment pavement conditions, were used to define new pavement families; the corresponding distress and performance models were also developed. In addition, a pilot study was conducted to use ESAL as an alternative traffic loading parameter to develop distress and performance models for Interstate routes. These new models are expected to be more accurate and robust in predicting pavement deterioration trends because of the inclusion of additional pertinent factors; once the existing somewhat obsolete performance models developed using AADT are replaced by these new models, the performance of the NCDOT PMS will be improved and more informed maintenance and rehabilitation decisions can be made.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/62953/dot_62953_DS1.pdf
• File Type:
  [PDF - 10.50 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:f639bffd536cdf770892112991bd4509978bd27a77ba36bffe55745ccee888f0