Wenhan Wu

Papers

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About

Wenhan Wu is a rising researcher in pedestrian dynamics and crowd evacuation modeling, whose work bridges computational social science and behavioral psychology. His primary research focuses on developing extended queueing models that incorporate human cognitive factors—specifically vision and morality—into evacuation simulations. In his most-cited paper (2022, 13 citations), Wu introduced a novel framework that accounts for how pedestrians’ visual awareness and moral considerations influence queue formation during emergencies, offering more realistic predictions of crowd behavior. His 2023 work (10 citations) further advanced the field by modeling mutual anticipation in crowds with attention distractions, addressing a critical gap in understanding how distracted pedestrians—such as those using smartphones—affect collective self-organization. By integrating psychological realism into heuristic models, Wu’s contributions help improve safety protocols for large-scale events and emergency management. His research has been recognized for its practical implications, particularly in designing evacuation strategies that account for human cognitive limitations. As an emerging voice in this interdisciplinary field, Wu continues to refine how we simulate and manage complex human crowds.