Research on Lane-Changing Decision-Making Behavior of Intelligent Network-Connected Autonomous Vehicles

With the rapid development of science and technology, the automobile industry is developing rapidly, and intelligent networking and autonomous driving have become new research hotspots. The safety and efficiency of vehicle driving has always been an important research topic in the transportation field. Due to reducing the participation of drivers, autonomous vehicles can reduce traffic accidents caused by human factors. While the development of intelligent networking can achieve information sharing between vehicles, and improve driving efficiency to a certain extent. Based on the game theory and the minimum safe distance condition, this paper establishes a lane changing decision model of intelligent network-connected autonomous vehicles, puts forward a game payoff function and analyzes the game strategy. Finally, the model is verified by the joint simulation of PreScan and Matlab, and the game matrix, velocity-time curve and horizontal and vertical position-time curve of vehicles are obtained. The simulation results show that the target vehicle in this model can complete the lane-changing operation under the premise of safety and stability, and can achieve the optimal payoff.