… game theory, the decision-making behavior model of the lane-changing game for autonomous
driving vehicles … , so that the autonomous driving vehicle can change lanes safely and …

… The key contribution put forward in the present paper is in developing a driver behavior
model and decision making strategy for lane-changing that is applicable to automated vehicles, …

… vehicles in highway setting. The mixed-motive game theory is utilised as a decisionmaking
strategy … of autonomous vehicles to achieve optimal behaviour in highway driving in a manner …

… Secondly, a longitudinal game strategy for HVs is established with consideration of the driver’s
… in this section to design the game strategy of HV that can truly reflect the driver’s actual …

… We then develop a mixedstrategy game model that considers the … for real-world expert
strategy learning. The model learns … game framework primarily consists of three modules: driver …

… vehicle to avoid collisions. The resulting trajectories for the ego vehicle exhibit rich game
strategies … The game-theoretic planner is shown to significantly outperform a baseline planner …

… vehicle. This paper proposes an adaptive robust decision making strategy for autonomous
vehicles … model while utilizing the confidence of the driver behavior to obtain less conservative …

… In this paper, the ARS controller is chosen to represent the vehicle agent in the human-vehicle
game. In order to quantify the control strategies of ARS controller, the sliding mode …

… complex interactions between human driver and an AFS system. Using game theory as a …
to explore human drivers’ behaviours in shared control of intelligent vehicles is presented and …

… Importantly, the dynamic authority allocation strategy of the game theory is designed based
on the driving risk in our study, and when the host vehicle runs under the higher driving risk …