Hierarchical distributed coordination strategy of connected and automated vehicles at multiple intersections

In this paper, the authors present a hierarchical distributed coordination strategy for connected and automated vehicles (CAVs) that are travelling through multiple unsignalized intersections. The control strategy focuses on the improvement of vehicle fuel efficiency and system mobility. In presence of wireless communication among the involved CAVs and the intersection controllers, their coordination strategy focuses on leading the CAVs travel through a road network without conventional traffic light control and ensuring collision avoidance at the intersection areas. The authors propose a three-layered coordination strategy in this paper. First, they evaluate the road desired average velocity considering both upstream and downstream traffic to speed up the traffic density balance. Second, the intersection controllers optimally assign reference velocity to each vehicle based on the minimization of velocity deviation from its current velocity and collision avoidance at the intersections. Finally, fast model predictive control (F-MPC) is applied for each vehicle to track their reference velocity in a computationally efficient manner. Two simulation scenarios with different difficulty levels have been implemented on a two-interconnected intersection network. Simulation results indicate the feasibility and scalability of the proposed method, as well as vehicle fuel efficiency and system mobility improvement.

• Record URL:
  https://doi.org/10.1080/15472450.2017.1407930
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/15472450
• Supplemental Notes:
  • © 2018 Taylor & Francis Group, LLC 2018. Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Du, Zhiyuan
  • HomChaudhuri, Baisravan
  • Pisu, Pierluigi
• Publication Date: 2018-3

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 144-158
• Serial:
  • Journal of Intelligent Transportation Systems
  • Volume: 22
  • Issue Number: 2
  • Publisher: Taylor & Francis
  • ISSN: 1547-2450
  • EISSN: 1547-2442
  • Serial URL: http://www.tandfonline.com/loi/gits20

Subject/Index Terms

• TRT Terms: Connected vehicles; Highway traffic control; Intelligent vehicles; Unsignalized intersections
• Uncontrolled Terms: Model predictive control
• Subject Areas: Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01669678
• Record Type: Publication
• Files: TRIS
• Created Date: May 22 2018 5:18PM