Operation Control Method for Connected and Autonomous Vehicles at Unsignalized Intersections
A control method of intelligent vehicles at intersections(FCFS-OCM)based on the first-come-first-served strategy was proposed,and a nonlinear optimization model with the minimum vehi-cle transit time as the goal was constructed.The model could judge the vehicle conflict by calculating the safe headway between projected vehicles,and restrain the vehicles by using the safe headway and overtaking behavior.The optimal control commands(accelerations)of all projected vehicles were ob-tained by solving with genetic algorithm,and the control commands were fed back to intelligent vehi-cles,so that the average delay of vehicles was reduced and the operation efficiency of intersections was improved.It was verified by SUMO simulation platform.The results show that the FCFS-OCM strat-egy does not significantly reduce the average vehicle delay compared with the traditional FCFS and sig-nal control strategy under the condition of low intersection saturation.With the increase of intersec-tion saturation,the advantage of FCFS-OCM strategy will gradually increase,but when the intersec-tion saturation is greater than 0.75,the advantage will decrease.However,compared with FCFS strategy and signal control strategy,the average delay of vehicles is reduced by 72％and 16％respec-tively,and the capacity of intersections is increased by 15％and 68％respectively.
intelligent transportationautonomous traffic managementInternet of vehiclesmicro-scopic traffic simulation
万方数据
维普
