Simulation Analysis of Autonomous Vehicle Operation Characteristics on Urban Roads Under Mixed Traffic Flow
In order to study the operating characteristics problems of autonomous vehicles in the mixed traffic flow composed of human-driven vehicles and autonomous vehicles,a simulation was operated to analyze the differences in the operating characteristics of the two in the urban road traffic environment.Firstly,a road network containing three road classes and seven cross-section forms is established based on the SUMO simulation environment.Secondly,the model parameters of the car-following behaviors of autonomous and human-driven vehicles are calibrated according to the Waymo autonomous vehicle operation dataset,and the floating vehicle trajectory data and the conflict recording data of the recording vehicles are set to run the simulation.The simulation results are found that the speed variance of the autonomous vehicle is smaller,and on the road with dedicated lanes,the speed variance of the autonomous vehicle is significantly smaller than that of the manually driven vehicle,and the manually driven vehicle will have a potential conflict with the autonomous vehicle because of the too close(fast following distance),and the friction conflict between the autonomous vehicle and the non-motorized vehicle in the road section is higher.