2 papers
cs.HC2024
Modeling Pedestrian Crossing Behavior: A Reinforcement Learning Approach with Sensory Motor Constraints
Yueyang Wang, Aravinda Ramakrishnan Srinivasan, Yee Mun Lee +1
Understanding pedestrian behavior is crucial for the safe deployment of Autonomous Vehicles (AVs) in urban environments. Traditional pedestrian behavior models often fall into two…
stat.AP2023
Deconstructing Pedestrian Crossing Decision-making in Interactions with Continuous Traffic: an Anthropomorphic Model
Kai Tian, Gustav Markkula, Chongfeng Wei +5
As safe and comfortable interactions with pedestrians could contribute to automated vehicles' (AVs) social acceptance and scale, increasing attention has been drawn to computationa…