Proactive detection of high collision concentration locations on highways

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In 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. Published by Elsevier Ltd.
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Issue Date
2011-11
Language
English
Article Type
Article; Proceedings Paper
Citation

TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, v.45, pp.927 - 934

ISSN
0965-8564
DOI
10.1016/j.tra.2011.04.007
URI
http://hdl.handle.net/10203/99295
Appears in Collection
GT-Journal Papers(저널논문)
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