• DocumentCode
    3203253
  • Title

    Right-Angle Crash Injury Severity Analysis Using Ordered Probability Models

  • Author

    Jin, Yu ; Wang, Xuesong ; Chen, Xiaohong

  • Author_Institution
    Sch. of Transp. Eng., Tongji Univ., Shanghai, China
  • Volume
    3
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    206
  • Lastpage
    209
  • Abstract
    A lot of crashes happened at signalized intersections in the cities. As right-angle crashes at signalized intersection tend to be severe, this paper analyzes factors affecting right-angle crash injury severity. Our study made use of 197 four-legged signalized intersections from Orange and Hillsborough counties, Florida. Information which includes roadway inventory data, traffic control and operational features, estimated traffic volume in the hour of crash from was collected. In addition to all crash related variables, accident report format was changed from "long" to "short" to avoid correlation and overrepresentation. Ordered probability models were developed to examine the factors significantly contributing to the severity of right-angle crashes given that an accident had occurred. The results of the modeling process showed that person ejected or not, alcohol and/or drug use, the driver\´s age, point of impact, and standardized yellow time for entering movement were significant variables affecting the average severity of accidents.
  • Keywords
    probability; road safety; road traffic; ordered probability models; right-angle crash injury severity analysis; road safety; roadway inventory data; traffic control; traffic safety; Computer crashes; Drugs; Injuries; Logistics; Road accidents; Road safety; Signal analysis; Traffic control; Vehicle crash testing; Vehicle driving; ordered probability models; right-angle crash; signalized intersection; traffic safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.799
  • Filename
    5523245