An advanced control strategy for connected autonomous vehicles based on Micro simulation models at multiple intersections

The high controllability and connectivity of connected automated vehicles (CAVs) have created opportunities to enhance the road network’s performance. Considering the case that all vehicles in the road network are CAVs, we build an intersection model in which all CAVs follow a given route through the intersection. We obtain the basic evolution rules of vehicles based on the cellular automata model and design conflict judgment and speed adjustment rules to ensure the passage of CAVs within intersections without conflicts. Further, with the goal of minimizing traffic delays in the road network, we design a coordinated control strategy for multiple intersections by considering the density of downstream vehicles. Finally, we conduct simulation experiments in different traffic scenarios. The results show that as the vehicle arrival rates rise, CAVs’ average delays rise and their average speeds decrease. The growth rate of traffic flow through the intersection slows down when a certain percentage is reached. Meanwhile, the coordinated control strategy for multiple intersections can obtain a minor average delay of vehicles on the road network.