Title

Lane-By-Lane Analysis Of Crash Occurrence Based On Driver'S Lane-Changing And Car-Following Behavior

Keywords

Bayesian logistic regression; Car following; Freeway; Lane change; Rear-end crash; Sideswipe crash

Abstract

This study investigates the effects of the traffic flow parameters related to individual drivers' lane-changing and car-following behavior on the occurrence of sideswipe and rear-end crashes on freeways. A total of 184 sideswipe and 605 rear-end crashes on I-4 freeway in Orlando, Florida, with the loop detector data were used for the analysis. A set of the Bayesian logistic regression models were developed to estimate the likelihood of crashes in a specific lane compared to the adjacent lanes using the 5 min average and lane-by-lane traffic flow parameters. The analysis results showed that the significant traffic flow parameters affecting crash occurrence in a specific lane are distinctively different between sideswipe and rear-end crashes. The flow-related variables were significant in the sideswipe crash models whereas the speed-related variables were significant in the rear-end crash models. The results suggest that the lane-by-lane traffic flow parameters are considered as surrogate measures of lane-changing and car-following behavior that are associated with the occurrence of sideswipe and rearend crashes. These parameters can potentially be used for real-time monitoring of the likelihood of crash occurrence by lane on instrumented freeways. © Taylor & Francis Group, LLC and The University of Tennessee.

Publication Date

6-1-2011

Publication Title

Journal of Transportation Safety and Security

Volume

3

Issue

2

Number of Pages

108-122

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1080/19439962.2010.550390

Socpus ID

79958786786 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/79958786786

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