Research on Intelligent Vehicle Lane Changing Decision Model Based on Signal Game Theory
In order to make full use of the real-time information obtained by intelligent vehicles and realize safe and efficient lane changing,a decision model of intelligent vehicle lane changing based on signal game principle was established by considering the influence of vehicle status and driver heterogeneity. Firstly,the psychological types of drivers were classified based on the ratio of urgency. Secondly,the principle of lane changing game was analyzed,and a decision model for vehicle lane changing was built. Thirdly,the effectiveness of the decision model for vehicle lane changing was verified. Finally,a lane changing simulation experiment for vehicles in a mixed driving environment was designed to verify the practicality of the model. The research shows that the lane change decision model constructed in this paper can be effectively used for intelligent vehicle trajectory planning,providing a theoretical basis for unmanned driving.
traffic engineeringvehicle lane change decisionsignal gameintelligent vehicle
万方数据
维普
