Towards Efficient Prediction of Highway Friction on an Annual Basis on the Texas Network [Project Summary]

Details

• Creators:
  Prozzi, Jorge ; Sabillon, Christian ; Hernandez, Joaquin ; Huang, Robin ; Li, Ruohan ; Byers, Jamie ; Xu, Hongbin ; Kim, Moo Yeon ; Allam, Tarek ; Zhang, Shimin
• Corporate Creators:
  University of Texas at Austin. Center for Transportation Research
• Contributors:
  Pridgen, Shelley
• Corporate Contributors:
  Texas Department of Transportation. Research and Technology Implementation Office ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  • Macrotexture
  • Pavements
  • Skid resistance
  • Testing equipment
  • Texture
  • Highways
• Publication/ Report Number:
  0-7031
• Resource Type:
  Brief
• Geographical Coverage:
  Texas ; United States
• Corporate Publisher:
  University of Texas at Austin. Center for Transportation Research
• Abstract:
  The researchers conducted a thorough analysis of texture, its effects on pavement friction, and the different testing methods to measure it. The basic principles that govern roadway friction, the main friction-generating mechanisms, and the different equipment used to measure pavement friction were also thoroughly investigated. Finally, they summarized the most promising developments in predicting skid data and using texture information found across the literature.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/66205/dot_66205_DS1.pdf
• File Type:
  [PDF - 247.05 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:792979bb2bcd119cf342afb3972ba34fa5fb6d5a8041d97a192c20b7bbf2ca69