Theoretical Trade-Off Between Fairness and Efficiency in the Cooperative Driving Problem for CAVs at On-Ramps

Cooperative driving is crucial for improving traffic efficiency and safety for connected and automated vehicles (CAVs), especially in traffic bottlenecks. However, most of the state-of-the-art cooperative driving strategies neglect the issue of fairness. Fairness is essential to properly allocate road resources and improve the travel experience. In this paper, the authors focus on the fairness concerns in the on-ramp cooperative driving problem. First, they note that enhancing traffic efficiency usually leads to unfairness, but they propose solutions to balance both aspects. Using the fundamental relation in traffic flow theory, they illustrate the existence of the trade-off at congested on-ramps. They then make some modifications to the cooperative driving strategies to incorporate fairness considerations. Simulation results show that the modified strategies achieve trade-offs in agreement with the theoretical one, laying the foundation for implementing the trade-off in real-world scenarios. These findings are enlightening for the increasing research on fairness issues in cooperative driving, and contribute to the optimization of traffic management strategies.

• Record URL:
  • https://doi.org/10.1109/OJITS.2023.3344216
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/26877813
• Supplemental Notes:
  • © 2024 The Authors.
• Authors:
  • He, Zimin
  • Pei, Huaxin
  • Guo, Yuqing
  • Yao, Danya
  • Li, Li
• Publication Date: 2024

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 41-54
• Serial:
  • IEEE Open Journal of Intelligent Transportation Systems
  • Volume: 5
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 2687-7813
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Connected vehicles; On ramps; Traffic congestion
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01916066
• Record Type: Publication
• Files: TRIS
• Created Date: Apr 19 2024 9:48AM