Run-off Road Accident Prediction Model for Two-lane Highway

This article describes a recent literature review on run-off-road (ROR) accident prediction models. Road geometry, traffic volume, accidents, roadside hardware, and features data of 31 rural 2-lane highways (total 740 km) was collected to develop ROR accident prediction models. Based on 4 types of statistical distributions, ROR accident frequency, fatality, and injury models were built. Elasticity analysis was conducted to estimate the effect of influential factors such as roadway geometry and truck traffic on these models.

  • Availability:
  • Authors:
    • Gao, Hai-long
    • Kan, Wei-sheng
    • Li, Chang-cheng
    • Pang, Chang-le
  • Publication Date: 2008-7

Language

  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 01113140
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Oct 21 2008 8:49AM