From lane-less to lane-free: Implications in the era of automated vehicles
Advances in autonomous vehicle (AV) technology and research into connected autonomous vehicle (CAV) technology have renewed interest in lane-free traffic. The present study reviews a large body of scientific literature to explore the potential impacts of lane-less and lane-free traffic streams and examines the control strategies and trends of lane-free traffic through the lens of future transport. The findings indicate that lane-free traffic has the potential to positively impact road traffic, including an increase in traffic performance and a rise in road infrastructure capacity due to efficient space use and the seepage behavior of small-sized vehicles (e.g., motorized two-wheelers) in mixed traffic scenarios. Furthermore, studies on lane-less traffic with human-driven vehicles can provide essential insights into the potential behavior of lane-free AV traffic and how AVs might be programmed and designed to operate safely and effectively in complex settings. For instance, a lane-free traffic setting could be a better option for improving traffic flow when AVs vary in size, and seepage behavior can be incorporated into the driving characteristics of AVs. • Reviews methods for modeling and analyzing lane-less traffic. • Provides a methodological review for lane-free traffic control. • Illustrates the potential impact of lane-less and lane-free traffic. • Discusses insights from lane-less traffic modeling for lane-free traffic control.
Authors
- Zhuopeng Xie (ORCID: https://orcid.org/0000-0003-4239-2797)
- Abebe Dress Beza (ORCID: https://orcid.org/0000-0002-6506-3278)
- David Matthew Levinson (ORCID: https://orcid.org/0000-0002-4563-2963)
- Mohsen Ramezani (ORCID: https://orcid.org/0000-0001-6839-6839)
Institutions
- The University of Sydney (AU)
- Bahir Dar University (ET)
Publication Details
- Journal
- Transportation Research Part C Emerging Technologies
- Published
- 2024-11-13
- DOI
- https://doi.org/10.1016/j.trc.2024.104898
- Citations
- 9
- Primary Topic
- Traffic control and management
- Type
- article
- Field-Weighted Citation Impact
- 2.95
Funders
- Australian Research Council