Lishengsha Yue

Traffic rule-embedded decision-making for automated vehicles in pedestrian-vehicle conflicts via deep reinforcement learning.

In pedestrian-vehicle crossing conflicts, automated vehicles (AVs) should avoid collisions and follow pedestrian-related traffic rules and social expectations. However, many existing decision-making models mainly optimize safety or efficiency. The behavioral effects of specific pedestrian-related rules remain insuffici...