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Experimental Evaluation of the Continuous Risk Profile (CRP) Approach to the Current Caltrans Methodology for High Collision Concentration Location Identification

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Listed:
  • Grembek, Offer
  • Kim, Kwangho
  • Kwon, Oh Hoon
  • Lee, Jinwoo
  • Liu, Haotian
  • Park, Min Ju
  • Washington, Simon
  • Ragland, David
  • Madanat, Samer M.

Abstract

This report evaluates the performance of Continuous Risk Profile (CRP) compared with the Sliding Window Method (SWM) and Peak Searching (PS) methods. These three network screening methods all require the same inputs: traffic collision data and Safety Performance Functions (SPFs), however, depending on how these input parameters are analyzed at the network screening level, the result of the analysis can vary significantly. Findings indicated that the CRP method produced far fewer false positives than SWM and PS. The false negative rates for CRP, SWM and PS were comparable. These findings indicate that by using the CRP method, California Department of Transportation (Caltrans) can significantly reduce the resources spent on investigating falsely identified locations and better utilize the resources in improving high collision concentration locations. It will also help Caltrans in reducing the backlog in Caltrans Table C.

Suggested Citation

  • Grembek, Offer & Kim, Kwangho & Kwon, Oh Hoon & Lee, Jinwoo & Liu, Haotian & Park, Min Ju & Washington, Simon & Ragland, David & Madanat, Samer M., 2012. "Experimental Evaluation of the Continuous Risk Profile (CRP) Approach to the Current Caltrans Methodology for High Collision Concentration Location Identification," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6sg5c0ng, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt6sg5c0ng
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    References listed on IDEAS

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    1. Chung, Koohong & Ragland, David R. & Madanat, Samer & Oh, Soon Mi, 2009. "The Continuous Risk Profile Approach for the Identification of High Collision Concentration Locations on Congested Highways," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt24m8j57d, Institute of Transportation Studies, UC Berkeley.
    2. Chung, Koohong & Rudjanakanoknad, Jittichai & Cassidy, Michael J., 2007. "Relation between traffic density and capacity drop at three freeway bottlenecks," Transportation Research Part B: Methodological, Elsevier, vol. 41(1), pages 82-95, January.
    3. Chung, Koohong & Jang, Kitae & Madanat, Samer & Washington, Simon, 2011. "Proactive detection of high collision concentration locations on highways," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(9), pages 927-934, November.
    4. Koohong Chung & David R. Ragland, 2009. "The Continuous Risk Profile Approach for the Identification of High Collision Concentration Locations on Congested Highways," Springer Books, in: William H. K. Lam & S. C. Wong & Hong K. Lo (ed.), Transportation and Traffic Theory 2009: Golden Jubilee, chapter 0, pages 463-480, Springer.
    Full references (including those not matched with items on IDEAS)

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