This paper introduces a collaborative control approach for Connected and Autonomous Vehicles (CAVs) considering communication delay. It enhances the Intelligent Driver Model to account for CAV communication delays and proposes a vehicle-to-infrastructure speed control algorithm to minimize delays. Employing Webster’s timing method, it optimizes signal plans based on CAV arrivals, enhancing intersection efficiency. The study extends green-wave control across multiple intersections to maximize network traffic throughput. Using data from Foshan City in China in SUMO simulations, it validates the method, finding a slight reduction in vehicles passing intersections due to CAV communication delays. Nonetheless, the proposed approach effectively reduces queued vehicles per cycle, minimizes delays, and enhances transportation system performance.
Collaborative Control of Multiple Intersection Signals and Vehicle Trajectory Planning Considering Communication Delay of Connected and Autonomous Vehicles
24th COTA International Conference of Transportation Professionals ; 2024 ; Shenzhen, China
CICTP 2024 ; 96-106
2024-12-11
Conference paper
Electronic Resource
English
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