Human-like decision making for lane change based on the cognitive map and hierarchical reinforcement learning

•Human-like decision making that considers both control and optimization is proposed for human-like ADS.•An HRL-based decision-making framework that integrates cognitive map and MP is proposed for human-like lane change.•An SR-based cognitive map is introduced to serve as the decision belief to guide human-like decision making.