Research on Cooperative Driving Strategies for Autonomous Intersection in Internet of Vehicle

Based on the intelligent transportation system, this paper focuses on the control method of the autonomous intersection. First of all, a vehicle scheduling method based on global planning is presented for the active intersection under the environment of sparse traffic. This method is a collaborative 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. Finally, we build an intersection simulation experiment platform which is used to simulate the intersection vehicle control strategy. The simulation results show that the proposed method has a good effect on the intersection vehicle control under the sparse traffic environment.