Enhancing Freeway Safety Prediction Models [Project Summary]

Details

• Creators:
  Pratt, Michael P. ; Geedipally, Srinivas R. ; Le, Minh ; Wu, Lingtao ; Avelar, Raul ; Das, Subasish ; Lord, Dominique
• Corporate Creators:
  Texas A&M Transportation Institute
• Corporate Contributors:
  Texas Department of Transportation. Research and Technology Implementation Office ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  • Forecasting
  • Freeways
  • Highway safety
  • Urban highways
  • Highway design
  • Safety management
  • Geometric design
• Publication/ Report Number:
  0-7067
• Resource Type:
  Brief
• Geographical Coverage:
  Texas;United States
• Edition:
  Project Summary
• Corporate Publisher:
  Texas A&M Transportation Institute
• Abstract:
  The research team derived local calibration factors for models for urban freeway segments with 4–10 lanes and assessed the applicability of the 10-lane urban freeway model to freeway segments with 12 lanes. To accomplish this objective, the researchers assembled a database of about 2,400 urban freeway segments and over 80,000 crashes from the years 2015–2019. The researchers conducted several stages of calibration, including preliminary calculations using only crash data and traffic volumes, intermediate calculations that added geometric variables from the state roadway inventory into the analysis, and detailed calculations that added supplemental variables that the researchers collected from aerial and street-level photography sources. These variables included rumble strip presence, longitudinal barrier presence, and ramp locations, among others.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/77977/dot_77977_DS1.pdf
• File Type:
  [PDF - 177.16 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:4fb52160c26a955d1cb2cba1d47b12aedbb9ec0af99403e4f1d13a3e5378040a1d2b1bdfa7f6eb3f2334c8c69abbb0299d599a557f49dc0968a10e131e975f59