首页|A Decision-Making Model for Autonomous Vehicles at Intersections Based on Hierarchical Reinforcement Learning
A Decision-Making Model for Autonomous Vehicles at Intersections Based on Hierarchical Reinforcement Learning
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NSTL
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By aiming at addressing the left-turning problem of an autonomous vehicle considering the oncoming vehicles at an urban unsignallized intersection,a hierarchical reinforcement learning is proposed and a two-layer model is established to study behaviors of left-turning driving.Compared with the conventional decision-making models with a fixed path,the proposed multi-paths decision-making algorithm with horizontal and vertical strategies can improve the efficiency of autonomous vehicles crossing intersections while ensuring safety.
NETL
NSTL
万方数据
