Research On Game Lane Switching Behavior Of Intelligent Network Interconnected Vehicles Based On Driving Style

Vehicle lane changing behavior is an important behavior during vehicle operation.Compared to vehicle following behavior,lane changing behavior requires drivers to consider more factors,more complex actions,and more likely to pose a threat to vehicle safety.In an intelligent connected environment,unmanned vehicles can accurately obtain surrounding traffic information in a short period of time,and make lane changing decisions after judging the surrounding traffic environment.The existing decision-making lane changing models have little research on vehicle driving style,and they have not considered the impact of different driving styles of surrounding vehicles on intelligent connected vehicle lane changing.The vehicle behavior is modeled through game theory,and the safety and efficiency in the process of vehicle driving are comprehensively considered.At the same time,analyze the vehicle driving data to enable intelligent connected vehicles to judge the driving style of surrounding vehicles during the lane changing process and adjust the lane changing profit parameters based on this.Construct a vehicle game lane changing model based on driving style and verify its performance.Based on the analysis of vehicle lane changing behavior and game theory,the game theory model applicable to vehicle lane changing process is selected.Based on the actual situation where intelligent connected vehicles can obtain real-time vehicle information,a static non cooperative game with complete information is selected.A game lane changing model was constructed between lane changing vehicles and vehicles behind the target lane,taking into account vehicle speed,time distance,and efficiency benefits.At the same time,considering the current situation that traditional manned vehicles will inevitably coexist with intelligent connected vehicles for a long time in the future,the driving styles of traditional vehicles will be divided by studying their driving data.Introducing driving style factors into the constructed vehicle game model allows intelligent connected vehicles to adjust the profit parameters of the game lane change model based on the driving style of surrounding vehicles in heterogeneous traffic flow,making lane change strategy choices more flexible according to actual situations.And based on the quintic polynomial,the driver’s lane changing trajectory was planned to determine the lane changing trajectory during vehicle operation,allowing the vehicle to change lanes according to its own driving status,ensuring safety and comfort during the lane changing process.Use SUMO simulation software to model and validate a game based lane changing model based on driving style,simulating the lane changing process of vehicles in different traffic density environments.An experimental group based on driving style game lane-changing model was established to guide vehicle lane-changing behavior,and a control group based on traditional lane-changing model was set up.By analyzing the number of vehicle accidents,number of vehicle passes and number of successful lane changes in each experimental group,the efficiency and safety of the game lane-changing model based on driving style are verified,and it is suitable to provide strategies for the lane-changing behavior of vehicles connected with intelligent networks in heterogeneous traffic flows.