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Journal Article

Citation

Weng J, Du G, Li D, Yu Y. Accid. Anal. Prev. 2018; 117: 328-339.

Affiliation

College of Transport and Communications, Shanghai Maritime University, Shanghai, 201306, China.

Copyright

(Copyright © 2018, Elsevier Publishing)

DOI

10.1016/j.aap.2018.05.005

PMID

29754006

Abstract

This study aims to develop a time-varying mixed logit model for the vehicle merging behavior in work zone merging areas during the merging implementation period from the time of starting a merging maneuver to that of completing the maneuver. From the safety perspective, vehicle crash probability and severity between the merging vehicle and its surrounding vehicles are regarded as major factors influencing vehicle merging decisions. Model results show that the model with the use of vehicle crash risk probability and severity could provide higher prediction accuracy than previous models with the use of vehicle speeds and gap sizes. It is found that lead vehicle type, through lead vehicle type, through lag vehicle type, crash probability of the merging vehicle with respect to the through lag vehicle, crash severities of the merging vehicle with respect to the through lead and lag vehicles could exhibit time-varying effects on the merging behavior. One important finding is that the merging vehicle could become more and more aggressive in order to complete the merging maneuver as quickly as possible over the elapsed time, even if it has high vehicle crash risk with respect to the through lead and lag vehicles.

Copyright © 2018 Elsevier Ltd. All rights reserved.


Language: en

Keywords

Crash probability; Crash severity; Logit model; Merging behavior; Time-varying effects; Work zone

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