Characteristics of Heavy Vehicle Discretionary Lane Changing Based on Trajectory Data

A comprehensive analysis of the motivations, gap acceptance, duration, and speed adjustment of heavy vehicle lane changes (LC) is conducted in this paper. An rich data set containing 433 discretionary LC trajectories of heavy vehicles is used in this study and the data set is divided into two data sets based on the LC direction (LC to the left lane [LCLL] and LC to the right lane [LCRL]) for comparison. It is seen that LCLL and LCRL have significantly different motivations, which also results in different gap acceptance behavior. However, the LC direction does not significantly influence the LC duration. The navigation speed significantly influences the LC duration of heavy vehicles and the LC duration will decrease with the increase of speed, indicating the substantial impact of traffic conditions on LC duration. An obvious speed synchronization phenomenon is found in the process of LCLL, which is not the case in LCRL. The results of this study highlight the distinct characteristics of the LC of heavy vehicles and produce a better understanding of the lane-changing behaviors of heavy vehicles. The fitted distributions of LC duration and further investigation into gap acceptance behaviors may be used for microscopic traffic simulation and auto driving.

• Record URL:
  https://doi.org/10.1177/03611981211051337
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/03611981
• Supplemental Notes:
  • The data used in this paper can be downloaded at https://www.highd-dataset.com/. © National Academy of Sciences: Transportation Research Board 2021.
• Authors:
  • Li, Gen
  • 0000-0001-5535-6467
  • Ma, Jianxiao
  • 0000-0002-4324-8175
  • Yang, Zhen
  • 0000-0001-6391-7260
• Publication Date: 2022-3

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 258-275
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Volume: 2676
  • Issue Number: 3
  • Publisher: Sage Publications, Incorporated
  • ISSN: 0361-1981
  • EISSN: 2169-4052
  • Serial URL: http://journals.sagepub.com/home/trr

Subject/Index Terms

• TRT Terms: Gap acceptance; Heavy vehicles; Lane changing; Motivation; Traffic data; Vehicle trajectories
• Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors;

Filing Info

• Accession Number: 01786446
• Record Type: Publication
• Files: TRIS, TRB, ATRI
• Created Date: Oct 27 2021 4:24PM