0-6940: Develop System to Render Mechanistic-Empirical Traffic Data for Pavement Design [Project Summary]

Details

• Creators:
  Aldo, Aldo ; Djebou, Clement ; Lee, Sang Ick ; Prakoso, Adrianus
• Corporate Creators:
  Texas A&M Transportation Institute
• Corporate Contributors:
  Texas. Dept. of Transportation. Research and Technology Implementation Office
• Subject/TRT Terms:
  • Mechanistic-empirical pavement design
  • Asphalt pavements
  • Pavement design
  • Research
  • Weigh in motion
  • Weigh in motion scales
  • Axle loads
• Resource Type:
  Brief
• Geographical Coverage:
  United States
• Edition:
  Project Summary
• Contracting Officer:
  Odell, Wade
• Corporate Publisher:
  Texas A&M Transportation Institute
• Abstract:
  Axle load spectra data, typically generated from permanent weigh-in-motion (WIM) stations, constitute the primary mechanistic-empirical (ME) traffic data input for accurate and optimal pavement designs. Due to limited permanent WIM stations (mostly located on interstate highways), most ME pavement designs rely on default axle load spectra or antiquated traffic estimates even for the 18-kip equivalent single axle loads used in Flexible Pavement Design System (FPS) software. The net result is un-optimized, costly designs, and/or poor performing pavement structures with increased maintenance costs or high construction costs due to over-designing, with high overall life-cycle costs. Successful implementation of the newly developed Texas Mechanistic-Empirical Flexible Pavement Design System (TxME) is also largely dependent on the availability of ME-compatible traffic data. Thus, there is a critical need to explore alternate means of generation and provision of ready-to-use ME traffic data for pavement designs and analysis, including the FPS, TxCRCP-ME, TxME, and AASHTOWare software.
• Format:
  PDF
• Funding:
  0-6940
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/53770/dot_53770_DS1.pdf
• File Type:
  [PDF - 172.03 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:2c4e88bb5aa101ed8350872c4a3704ab1052716f8035248240fadb4b94c97923