A study of traffic conflict with surrounding traffic during mandatory lane-changing execution

Xiaoying Cao, William Young, Majid Sarvi

Research output: Contribution to conferencePaper


Lane change models are one of the basic driver behaviour interactions in microscopic traffic simulations of traffic, safety and transportation system analysis. However, many of the present traffic simulations mostly pay attention to the lane changing decision process, while the lane change execution process is often simplified or even ignored. This paper presents a study of mandatory lane change (MLC) execution and proposes a surrounding traffic impact model on MLC. It studies lane changing behaviours on an arterial road where there is a block occurring on the curb-side lane to investigate the execution process. When the mandatory lane-changing vehicle shifts from the current lane to the target lane, the driver adjusts its lane-changing execution behaviour to complete lane change safely by evaluating the conflict with the direct surrounding vehicles. It is assumed that the driver will adjust its execution if a surrounding conflict is detected and will continue the lane change if there is no conflict around. A probability model is proposed to interpret the surrounding traffic impact to driver’s choice during the period of lane change execution. The surrounding traffic impact model associated with conflicts was estimated in this paper. In the conclusion, the paper provides a framework for future work in lane change execution models of traffic simulation to assess the traffic safety and road efficiency.

Original languageEnglish
Publication statusPublished - 2015
EventAustralasian Transport Research Forum 2015 - Sydney, Australia
Duration: 30 Sep 20152 Oct 2015
Conference number: 37th
https://www.australasiantransportresearchforum.org.au/papers/2015 (Proceedings)


ConferenceAustralasian Transport Research Forum 2015
Abbreviated titleATRF 2015
Internet address


  • Discriminant analysis method
  • Lane change behaviour
  • Lane change conflict detection
  • Microscopic traffic simulation

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