Technical Papers
Apr 1, 2014

Systematic Approach to Hazardous-Intersection Identification and Countermeasure Development

Publication: Journal of Transportation Engineering
Volume 140, Issue 6

Abstract

Safety performance functions (SPFs) are commonly used to correlate geometric, traffic, and environmental characteristics with total crashes, and to identify hotspots that have excessive overall crash frequencies. However, different crash types are associated with different vehicle maneuvers and therefore different risk factors. At signalized intersections, geometric design, signal control, traffic flow, and traffic crash occurrences vary across different approaches of a single intersection. This study developed approach-level SPFs using a full Bayesian method to assess the safety effects of specific risk factors for rear-end, left-turn, right-angle, and sideswipe crash types, and for total crashes. Based on these approach-level SPFs, a systematic method that efficiently integrated the procedures of hotspot identification and countermeasure development was proposed. The method can be used to identify high-risk intersection approaches with specific safety problems and can serve as a useful complement to general hotspot analyses that use expected crash totals. It was found that some variables, including the number of through lanes, median presence, and left-turn protection, could have contrary effects on the occurrence of certain crash types. The proposed method can provide insights to aid in the development of countermeasures aimed at reducing certain crash types and an improved ability to identify deficiencies related to geometric and traffic characteristics for each intersection approach.

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Acknowledgments

The authors acknowledge the comments and suggestions of the anonymous reviewers. This study was jointly sponsored by the Chinese National Science Foundation (51008230), the program for New Century Excellent Talents in University (NCET-11-0387), and the Fundamental Research Funds for the Central Universities. The authors would like to thank Florida Department of Transportation for providing the data.

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Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 140Issue 6June 2014

History

Received: Mar 12, 2013
Accepted: Jan 6, 2014
Published online: Apr 1, 2014
Published in print: Jun 1, 2014
Discussion open until: Sep 1, 2014

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Authors

Affiliations

Xuesong Wang, Ph.D. [email protected]
Associate Professor, School of Transportation Engineering, Tongji Univ., Shanghai 201804, China (corresponding author). E-mail: [email protected]
Kun Xie, S.M.ASCE [email protected]
Graduate Research Assistant, Dept. of Civil and Urban Engineering, New York Univ., Brooklyn, NY 11201. E-mail: [email protected]
Mohamed Abdel-Aty, Ph.D. [email protected]
Professor, Dept. of Civil, Environmental and Construction Engineering, Univ. of Central Florida, Orlando, FL 32816. E-mail: [email protected]
Xiaohong Chen, Ph.D. [email protected]
Associate Professor, School of Transportation Engineering, Tongji Univ., Shanghai 201804, China. E-mail: [email protected]
Paul J. Tremont, Ph.D. [email protected]
Visiting Professor, School of Transportation Engineering, Tongji Univ., Shanghai 201804, China. E-mail: [email protected]

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