An Experimental Method for CAV Dedicated Lane Setting Strategy

With the implement of Intelligent Vehicle Infrastructure System (IVIS) and automated driving, the requirement of setting a Connected Automated Vehicle (CAV) dedicated lane in highway is increased. However, the penetration of CAVs is low at the beginning of this application, and it will increase gradually in the future. Therefore, it is necessary to investigate the setting strategy of the CAV dedicated lane. Here, an experimental method is proposed to set the CAV dedicated lane dynamically according to the traffic flow and the penetration of CAVs. The performance has been evaluated by using Plexe that is a platoon simulation platform. Simulation results show that the proposed method improves traffic flow 25.3% compared with the benchmark method.