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How Does the Driver’s Perception Reaction Time Affect the Performances of Crash Surrogate Measures?

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  • Yan Kuang
  • Xiaobo Qu
  • Jinxian Weng
  • Amir Etemad-Shahidi

Abstract

With the merit on representing traffic conflict through examining the crash mechanism and causality proactively, crash surrogate measures have long been proposed and applied to evaluate the traffic safety. However, the driver’s Perception-Reaction Time (PRT), an important variable in crash mechanism, has not been considered widely into surrogate measures. In this regard, it is important to know how the PRT affects the performances of surrogate indicators. To this end, three widely used surrogate measures are firstly modified by involving the PRT into their crash mechanisms. Then, in order to examine the difference caused by the PRT, a comparative study is carried out on a freeway section of the Pacific Motorway, Australia. This result suggests that the surrogate indicators’ performances in representing rear-end crash risks are improved with the incorporating of the PRT for the investigated section.

Suggested Citation

  • Yan Kuang & Xiaobo Qu & Jinxian Weng & Amir Etemad-Shahidi, 2015. "How Does the Driver’s Perception Reaction Time Affect the Performances of Crash Surrogate Measures?," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-13, September.
    • Handle: RePEc:plo:pone00:0138617
    DOI: 10.1371/journal.pone.0138617
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    References listed on IDEAS

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    1. Hu, Xiaosong & Murgovski, Nikolce & Johannesson, Lars & Egardt, Bo, 2013. "Energy efficiency analysis of a series plug-in hybrid electric bus with different energy management strategies and battery sizes," Applied Energy, Elsevier, vol. 111(C), pages 1001-1009.
    2. Lord, Dominique & Mannering, Fred, 2010. "The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 291-305, June.
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    1. Yiming Bie & Zhiyuan Liu & Yinhai Wang, 2017. "A real-time traffic control method for the intersection with pre-signals under the phase swap sorting strategy," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-22, May.

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