Evaluating the performance of network screening methods for detecting high collision concentration locations on highways

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This paper documents findings from evaluating performances of three different methods for segmenting freeway sites for the purpose of identifying high collision concentration locations: Sliding Moving Window (SMW), Peak Searching (PS) and Continuous Risk Profile (CRP). The traffic collision data from sites segmented in each method under two different roadway definitions were used to estimate excess expected average crash frequency with Empirical Bayes adjustment with respect to two different sets of Safety Performance Functions (SPFs). The estimates from each of the methods were then used to prioritize the detected sites for safety investigation and these lists were compared with previously confirmed high collision concentration locations (or hot spots). The input requirements for each of three methods were identical, yet their performance markedly varied. The findings revealed that CRP method has the lowest false positive (i.e., requiring a site for safety investigation while it is not needed) rate. The performances of SMW and PS significantly varied when different sets of SPFs were used while that of CRP was less affected. (C) 2012 Published by Elsevier Ltd.
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Issue Date
2013-03
Language
English
Article Type
Article
Keywords

SAFETY

Citation

ACCIDENT ANALYSIS AND PREVENTION, v.51, pp.141 - 149

ISSN
0001-4575
DOI
10.1016/j.aap.2012.10.019
URI
http://hdl.handle.net/10203/174830
Appears in Collection
CE-Journal Papers(저널논문)
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