A Model to Manage the Lane-Changing Conflict for Automated Vehicles Based on Game Theory

In this study, we propose a lane-changing conflict management model based on game theory for automated vehicles. When vehicle plans to change the adjacent lane, and if there is closely following that must sacrifice its speed make space vehicle, which means are conflicts of interest between two So far, no clear answer should vehicle. These individualistic models may lead suboptimal traffic flow or even safety issues. To solve problem, study designed in target lane. vehicles enter conflict, payoffs under various combinations strategies were evaluated, final strategy acceleration each obtained principle benefit equilibrium. The simulation conducted analyze (LV) close rear (RV) process from different initial positions. results show that, hypothesis scenario simulation, {changing avoiding } will be chosen when RV initially located range [0, 40 m], while {not changing not avoiding} more appropriate position [41 m, 90 m].