Research On Cooperative Driving Strategies For Autonomous Intersection In Internet Of Vehicle

As an important application of computer technology in the field of traffic control,intelligent traffic system uses advanced wireless communications,smart sensor networks,cloud computing and other technologies to acquire and process a large number of road information and vehicle information to provide services for people and traffic control.Based on the intelligent transportation system,this paper focuses on the control method of the autonomous intersection.The main contents of the study are as follows:1.A vehicle scheduling method based on global planning is presented for the active intersection under the environment of sparse traffic.This method is a cooperative control strategy that optimizes the order of vehicles through the intersection.By modeling the vehicle at the intersection,vehicle information and road information are used to set up a control strategy for all vehicles in a specific range,so that all vehicles can be controlled to optimize the global travel time.2.A dynamic speed control strategy based on platoon is proposed to reduce vehicle parking delay.Corresponding dynamic speed adjustment strategies are designed according to different parking and conflict scenarios can adjust the speed of platoons according to the status of the current intersection.3.Using SUMO,OMNeT++ and Veins,a intersection simulation experiment platform which is used to simulate the intersection vehicle control strategy proposed in this paper is built.The simulation results show that the proposed method has a good effect on the intersection vehicle control under the sparse traffic environment.