An Intelligent Networked Vehicle Lane Changing Model based on Game Theory in Highway Accident Section
When intelligent networked vehicles face complex traffic scenarios where accidents occur on highways,vehicles upstream of the accident point need to change lanes,which will play a game with lagging vehicles in the target lane.Based on game theory,the lane change model of intelligent networked vehicles is constructed:the lane changing model revenue matrix of intelligent networked vehicles in accident sections is established,the speed gain and safety benefits of vehicles are used as the evaluation indicators of the effect of game strategy,and the lane change decision game behavior of vehicles in accident road sections is analyzed.Finally,based on the NGSIM dataset,the lane change model is verified by using SUMO software.By comparing the number of passing vehicles,average passing time and average lane change time of vehicles in the accident lane of the simulated road section during the experimental time,the overall performance of the game lane change model is better than the traditional cellular automata model and the classic LC2013 lane change model,especially in the face of high traffic density.Experiments show that the intelligent networked lane changing model based on game theory has good applicability in the lane change scenarios on highway accident sections.
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