Simulated intersection coordination method for connected and autonomous vehicles with network from Guangzhou, China.
Guangzhou, China
Autonomous Vehicle-Intersection Coordination Method in a Connected Vehicle Environment
Summary Information
This paper presents a coordinated intersection control method in a connected vehicle environment and improves the autonomous intersection management strategy on a simulation test-bed and typical road network in Guangzhou, China, is used to evaluate the proposed method.
Methodology
The road network is divided into three areas: buffer area, core area and free driving area. A buffer-assignment mechanism is developed to cooperatively assign a specific crossing span for an individual autonomous vehicle (AV) and guide each AV to adjust its entry time and corresponding speed in the core area. A set-projection algorithm and a three-segment linear speed profile are used to control the trajectories of the AVs in the buffer area. The performance of the proposed method is evaluated by simulating various traffic conditions on an actual urban network.
Findings
The simulation experiments and sensitivity analyses demonstrate that the proposed intersection coordination method can reduce travel delays by 24.2 to 77.1 percent and reduce the number of stops by nearly 99 percent deployment-wide.