Abstract In order to study the evolutionary mechanism of lane changing for intelligent connected vehicles on urban traffic flow frequently changing sections and reduce the decision conflict of vehicle lane changing, the human-vehicle interaction was realized and the evolutionary dynamic equations were established by quantifying the vehicle revenue and weight coefficient. According to the Jacobi matrix of the game system, the stability of the equilibrium points were analyzed. Finally, the numerical simulation was used to determine the evolution path and the sensitivity analysis of the influencing factors was carried out. The results show that the initial ratio of different driving decisions will affect the evolution direction of the decision, and the left-turn green time will enhance the evolution of vehicle strategy in the direction of changing lane and giving way, and the evolution of vehicle strategy in the direction of changing lane and giving way as the position of decision time decreases.
DAI Shouchen,QU Dayi,MENG Yiming, et al. Evolutionary Game Mechanisms of Lane Changing for Intelligent Connected Vehicles on Traffic Flow Frequently Changing Sections[J]. Complex Systems and Complexity Science,
2024, 21(3): 128-135.
