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Joint modelling of longitudinal and lateral dynamics in lane-changing maneuvers

Author

Listed:
  • Ang Ji
  • Mohsen Ramezani
  • David Levinson

    (TransportLab, School of Civil Engineering, University of Sydney)

Abstract

ARTICLE HISTORY This study models a lane-changing event as two behaviourally interconnected phases: 'stay' and 'execution'. The model considers the 'stay' phase duration stochastically depending on external traffic conditions. The 'execution' phase is modelled as the longitudinal speed profile deployed to perform the lane change. The model comprises a Bayesian survival analysis to predict the probability of the stay duration before a new 'execution' phase while tackling the censoring issue of survival methods. Using naturalistic vehicular trajectory data, this paper quantifies what factors influence driver behaviour in lane-keeping and lane-changing execution. The parameter estimation results demonstrate that drivers' decisions on phase transitions are influenced by surrounding conditions, lane-changing purpose, directions, and departure lanes. The findings reveal that urgency (stemming from the purpose) and patience (satisfaction with the existing situation) are the main reasons for leaving the current lane. Adequate distances and relative speeds compared with surrounding vehicles induce or dissuade acceleration behaviour during the execution phase. Received 10 July 2022 Accepted 30 November 2022

Suggested Citation

  • Ang Ji & Mohsen Ramezani & David Levinson, 2023. "Joint modelling of longitudinal and lateral dynamics in lane-changing maneuvers," Working Papers transportist-2023-lanedyn, University of Minnesota: Nexus Research Group.
    • Handle: RePEc:nex:wpaper:transportist-2023-lanedynamics-3
    DOI: 10.1080/21680566.2022.2154717
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    File URL: https://doi.org/10.1080/21680566.2022.2154717
    File Function: First version, 2023
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    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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