Traffic conflict techniques for road safety analysis: open questions and some insights

Author:

Zheng Lai12,Ismail Karim2,Meng Xianghai1

Affiliation:

1. School of Transportation Science and Engineering, Harbin Institute of Technology, 202 Haihe Road, Nangang District, Harbin, Heilongjiang, China.

2. Department of Civil and Environmental Engineering, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario, Canada.

Abstract

Developing non-crash or surrogate measures of road safety has drawn considerable research interest over the past five decades. Traffic conflict techniques, which analyze the safety situations from the aspect of more observable traffic events than crashes, are the most prominent techniques to date. This study provides a comprehensive review of previous research on traffic conflict techniques, striving to find answers to the following open questions: What is a traffic conflict? How to collect the traffic conflict data? And what is the ground to claim that traffic conflicts can be valid surrogates for crashes? The strengths and weaknesses of available answers to these questions are assessed based on methodological and empirical grounds. Directions for the future research are identified and outlined. It is believed that following recommended future directions may offer convincing answers to identified open questions.

Publisher

Canadian Science Publishing

Subject

General Environmental Science,Civil and Structural Engineering

Reference79 articles.

1. Identifying Significant Predictors of Head-on Conflicts on Two-Lane Rural Roads Using Inductive Loop Detectors Data

2. Allen, B.L., Shin, B.T., and Cooper, P.J. 1978. Analysis of traffic conflicts and collisions. Report No. TRR 667, Transportation Research Board, Washington, D.C.

3. Almqvist, S., and Ekman, L. 2001. The Swedish traffic conflict technique: Observer’s manual. Department of Technology and Society Traffic Engineering, Lund University.

4. Archer, J. 2005. Indicators for traffic safety assessment and prediction and their application in micro-simulation modelling: A Study of urban and suburban intersections. Dissertation, Lund University.

5. Safety evaluation of right-turn smart channels using automated traffic conflict analysis

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