Proactive detection of high collision concentration locations on highways
AbstractIn previous research (Chung et al., 2009), the potential of the continuous risk profile (CRP) to proactively detect the systematic deterioration of freeway safety levels was presented. In this paper, this potential is investigated further, and an algorithm is proposed for proactively detecting sites where the collision rate is not sufficiently high to be classified as a high collision concentration location but where a systematic deterioration of safety level is observed. The approach proposed compares the weighted CRP across different years and uses the cumulative sum (CUSUM) algorithm to detect the sites where changes in collision rate are observed. The CRPs of the detected sites are then compared for reproducibility. When high reproducibility is observed, a growth factor is used for sequential hypothesis testing to determine if the collision profiles are increasing over time. Findings from applying the proposed method using empirical data are documented in the paper together with a detailed description of the method.
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Bibliographic InfoArticle provided by Elsevier in its journal Transportation Research Part A: Policy and Practice.
Volume (Year): 45 (2011)
Issue (Month): 9 (November)
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Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description
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- 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.
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