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Journal Article

Citation

Cheng Z, Lu J, Li Y. Accid. Anal. Prev. 2018; 119: 176-187.

Affiliation

Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing, 211189, China; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing, 211189, China; School of Transportation, Southeast University, Nanjing, 211189, China. Electronic address: liyunxuan_1989@163.com.

Copyright

(Copyright © 2018, Elsevier Publishing)

DOI

10.1016/j.aap.2018.07.009

PMID

30041082

Abstract

The primary objective of this study is to evaluate the real-time crash risk of freeways by using real-world traffic flow data. The crash risk expressed as the potential crash likelihood is assessed under variable speed limit (VSL) and without VSL, in which both spatial correlation between different sites and temporal similarity are contained. Traffic flow data of Whitemud Drive network (WMD) in Canada is used to perform the relevant analysis, including VSL implementation analysis, traffic flow similarity analysis, crash risk and congestion analysis. Analytical results demonstrate that the average traffic flow under VSL schemes 1, 2, 3 and 4 are highly correlated from spatial-temporal perspective. The crash likelihoods and congestions under these VSL schemes are greatly improved. The best VSL control scheme, the most dangerous area and time, together with the most congested station of WMD are eventually determined. Subsequently, a t-test is employed to examine the significance of these results. t-Test results suggest that the improvement degree between crash risk and congestion under the best VSL control scheme show a difference, i.e., the best VSL control scheme can reduce the crash risk of moderate risk area more than high risk area, while it may have a larger melioration on the most congested area than the relatively uncongested area. Finally, these results are considered to have the potential reference in the mitigation of WMD traffic issues.

Copyright © 2018 Elsevier Ltd. All rights reserved.


Language: en

Keywords

Congestion; Crash likelihood; Crash risk; Freeways; Spatial-temporal perspective; Variable speed limit

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