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Dynamic Programming-based Pedestrian Hotspot Identification Approach

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  • Medury, Aditya
  • Grembek, Offer

Abstract

Network screening techniques are widely used by state agencies to identify locations with high collision concentration, also referred to as hotspots. However, most of the research in this regard has focused on identifying highway segments that are of concern to automobile collisions. A major difference between pedestrian and automobile hotspots is that pedestrian-based conflicts are more likely to arise in localized regions, such as near intersections, mid-blocks, and/or other crossings, as opposed to along long stretches of roadway. Hence, in order to address this issue, a dynamic programming-based hotspot identification approach is proposed which provides efficient hotspot definitions for pedestrian crashes. The proposed approach is compared with the sliding window method and the results reveal that the dynamic programming method generates more hotspots with a higher number of crashes, while covering fewer miles.

Suggested Citation

  • Medury, Aditya & Grembek, Offer, 2014. "Dynamic Programming-based Pedestrian Hotspot Identification Approach," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt10d0x1z7, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt10d0x1z7
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. Grembek, Offer, 2012. "The relative vulnerability index: a framework for evaluating multimodal traffic safety," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9xg8n6vr, Institute of Transportation Studies, UC Berkeley.
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    Keywords

    Engineering; safeTREC;

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