Signal timing at an isolated intersection under mixed traffic environment with self-organizing connected and automated vehicles

A signal timing model is proposed for intersections with mixed traffic comprising connected human-driven vehicles (CHVs) and connected autonomous vehicles (CAVs). Because the CAVs are not directed by traffic controllers, and create trajectories on their own, they are called self-organizing CAVs (SOCAVs). These SOCAV trajectory strategies are not accessible by traffic controllers. To minimize delay, the signal optimization is formulated as a mixed integer linear programming (MILP) model. The states of SOCAVs passing the stop bar are predicted without prior information of their trajectories. SOCAVs can effectively lead platoons to pass an intersection, and these leading effects are utilized. Phase sequence and duration are optimized with the structure-free phasing scheme. For computational efficiency, a particle swarm optimization algorithm with a grouping strategy solves the optimization model. Numerical studies confirm that: 1) The algorithm outperforms the benchmark method, and directly solves the proposed MILP model under medium-to-high traffic demand; 2) The model outperforms fixed-time and vehicle-actuated signal control in vehicle delay and throughput. Sensitivity analysis shows that a SOCAV penetration rate of 30% guarantees satisfactory performance of the signal timing model.

• Record URL:
  http://dx.doi.org/10.1111/mice.12961
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/10939687
• Authors:
  • Ma, Chengyuan
  • Yu, Chunhui
  • 0000-0003-3725-3995
  • Zhang, Cheng
  • Yang, Xiaoguang
• Publication Date: 2023-9-15

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 1955-1972
• Serial:
  • Computer-Aided Civil and Infrastructure Engineering
  • Volume: 38
  • Issue Number: 14
  • Publisher: Blackwell Publishing
  • ISSN: 1093-9687
  • Serial URL: http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-8667

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Mixed integer programming; Signalized intersections; Traffic signal timing; Vehicle mix; Vehicle trajectories
• Subject Areas: Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01896251
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 16 2023 5:25PM