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A Method for Relating Type of Crash to Traffic Flow Characteristics on Urban Freeways

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  • Golob, Thomas F.
  • Recker, Wilfred W.

Abstract

A method is developed to determine how crash characteristics are related to traffic flow conditions at the time of occurrence. Crashes are described in terms of the type and location of the collision, the number of vehicles involved, movements of these vehicles prior to collision, and severity. Traffic flow is characterized by central tendencies and variations of traffic flow and flow/occupancy for three different lanes at the time and place of the crash. The method involves nonlinear canonical correlation applied together with cluster analyses to identify traffic flow regimes with distinctly different crash taxonomies. A case study using data for more than 1,000 crashes in Southern California identified twenty-one traffic flow regimes for three different ambient conditions: dry roads during daylight (eight regimes), dry roads at night (six regimes), and wet conditions (seven regimes). Each of these regimes has a unique profile in terms of the type of crashes that are most likely to occur, and a matching of traffic flow parameters and crash characteristics reveals ways in which congestion affects highway safety.

Suggested Citation

  • Golob, Thomas F. & Recker, Wilfred W., 2003. "A Method for Relating Type of Crash to Traffic Flow Characteristics on Urban Freeways," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt7n64466d, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt7n64466d
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    References listed on IDEAS

    as
    1. Golob, Thomas F. & Recker, Wilfred W. & Alvarez, Veronica, 2002. "Freeway Safety as a Function of Traffic Flow: The FITS Tool for Evaluating ATMS Operations," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1tc5r61j, Institute of Transportation Studies, UC Berkeley.
    2. Golob, Thomas F. & Recker, Wilfred W. & Alvarez, Veronica M., 2003. "A Tool to Evaluate the Safety Effects of Changes in Freeway Traffic Flow," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1kn30323, Institute of Transportation Studies, UC Berkeley.
    3. Cajo Braak, 1990. "Interpreting canonical correlation analysis through biplots of structure correlations and weights," Psychometrika, Springer;The Psychometric Society, vol. 55(3), pages 519-531, September.
    4. Varaiya, Pravin, 2001. "Freeway Performance Measurement System, PeMS v3, Phase 1: Final Report," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt20p1j2w7, Institute of Transportation Studies, UC Berkeley.
    Full references (including those not matched with items on IDEAS)

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