Exploring the Stimulative Effect on Following Drivers in a Consecutive Lane Change Using Microscopic Vehicle Trajectory Data

Improper lane-changing behaviours may result in breakdown of traffic flow and the occurrence of various types of collisions. This study investigates lane-changing behaviours of multiple vehicles and the stimulative effect on following drivers in a consecutive lane-changing scenario. The microscopic trajectory data from the HighD dataset are used for driving behaviour analysis. Two discretionary lane-changing vehicle groups constitute a consecutive lane-changing scenario, and not only distance- and speed-related factors but also driving behaviours are taken into account to examine the impacts on the utility of following lane-changing vehicles. A random parameters logit model is developed to capture the driver's psychological heterogeneity in the consecutive lane-changing situation. Furthermore, a lane-changing utility prediction model is established based on three supervised learning algorithms to detect the improper lane-changing decision. Results indicate that 1) the consecutive lane-changing behaviours have a significant negative effect on the following lane-changing vehicles after lane change; 2) the stimulative effect exists in a consecutive lane-change situation and its influence is heterogeneous due to different psychological activities of drivers; and 3) the utility prediction model can be used to detect an improper lane-changing decision.

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  • Supplemental Notes:
    • © The Authors 2022. Published by Oxford University Press on behalf of Central South University Press.
  • Authors:
    • Gu, Ruifeng
    • Li, Ye
    • Cen, Xuekai
  • Publication Date: 2023-4

Language

  • English

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  • Accession Number: 01885698
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jun 22 2023 9:49AM