Modeling and Generating Crash Avoidance Behaviors in Safety-Critical Vehicle–Pedestrian Interactions Using Deep Reinforcement Learning

Traffic crashes between vehicles and pedestrians arise from complex, split-second interactions in which both parties make rapid evasive decisions. Four fundamental gaps persist in existing research. Surrogate safety measures assume linear trajectories, failing to capture the curved movements of turn