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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 1000 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.

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  • Golob, Thomas F. & Recker, Wilfred W., 2004. "A method for relating type of crash to traffic flow characteristics on urban freeways," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(1), pages 53-80, January.
    • Handle: RePEc:eee:transa:v:38:y:2004:i:1:p:53-80
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    References listed on IDEAS

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    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. 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.
    3. Hensher, David A. & Golob, Thomas F., 1999. "Searching for policy priorities in the formulation of a freight transport strategy: a canonical correlation analysis of freight industry attitudes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 35(4), pages 241-267, December.
    4. Stef Buuren & Willem Heiser, 1989. "Clusteringn objects intok groups under optimal scaling of variables," Psychometrika, Springer;The Psychometric Society, vol. 54(4), pages 699-706, September.
    5. 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.
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    Cited by:

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    5. Younshik Chung & Tai-Jin Song, 2018. "Safety Analysis of Motorcycle Crashes in Seoul Metropolitan Area, South Korea: An Application of Nonlinear Optimal Scaling Methods," IJERPH, MDPI, vol. 15(12), pages 1-20, November.
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    10. Xu, Chengcheng & Liu, Pan & Wang, Wei & Li, Zhibin, 2014. "Identification of freeway crash-prone traffic conditions for traffic flow at different levels of service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 58-70.
    11. Junwei Zeng & Yongsheng Qian & Bingbing Wang & Tingjuan Wang & Xuting Wei, 2019. "The Impact of Traffic Crashes on Urban Network Traffic Flow," Sustainability, MDPI, vol. 11(14), pages 1-14, July.
    12. Yongcheng Wang & Yiik Diew Wong & Kelvin Goh, 2021. "Perceived importance of inclusive street dimensions: a public questionnaire survey from a vision(ing) perspective," Transportation, Springer, vol. 48(2), pages 699-721, April.
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    14. Golob, Thomas F. & Marca, James & Recker, Will, 2007. "Implementation of a Tool for Measuring ITS Impacts on Freeway Safety Performance," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2nn3j1sd, Institute of Transportation Studies, UC Berkeley.

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