Academic Journal of Engineering and Technology Science, 2023, 6(11); doi: 10.25236/AJETS.2023.061117.
Fulei Liu, Shenhao Hou
College of Automobile and Transportation, Tianjin University of Technology and Education, Tianjin, China
This paper builds a decision model for intelligent networked vehicles (ICV) lane changing behavior based on the idea of game theory. Focusing on the complex traffic conditions of three-lane highway with multi-vehicle interaction and competition, we solve the ICV lane change decision problem by pairing ICVs two by two, formulating a multi-group game and comparing the game gain results to find the best. Based on Time-to-Collision (TTC), we design the payoff function of this decision model game so that the game results in a pure strategy Nash equilibrium (PSNE), and obtain the unique optimal lane change decision for a given state by designing the objective function of the lane change game. The joint simulation by PreScan/Simulink/CarSim software verifies the rationality of the payoff function and the validity and applicability of the lane-changing model.
Intelligent Connected Vehicle, Game theory, Nash equilibrium, Lane change decision
Fulei Liu, Shenhao Hou. Research on Lane Change Decision Model of Intelligent Connected Vehicles in Multi-Vehicle Game. Academic Journal of Engineering and Technology Science (2023) Vol. 6, Issue 11: 112-119. https://doi.org/10.25236/AJETS.2023.061117.
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