AIBullisharXiv – CS AI · 3h ago6/10
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Modeling Vehicle-Type-Specific Pedestrian Crash Avoidance Behavior in Safety-Critical Interactions Using Smooth-Mamba Deep Reinforcement Learning
Researchers developed SMamba-DDPG, a deep reinforcement learning framework that models how pedestrians behave differently when interacting with autonomous vehicles versus human-driven vehicles. The study found that pedestrians react faster to AVs and adopt lower crossing speeds, with AV interactions showing lower conflict rates than HDV scenarios.