Xiaolu Wang
Papers
2
Total Citations
23
H-Index
2
About
Xiaolu Wang is a leading researcher in pedestrian dynamics and crowd evacuation modeling, with a focus on how human cognitive and social factors shape collective movement. Her work bridges computer vision, behavioral psychology, and transportation engineering to create more realistic simulation frameworks. In her highly cited 2022 paper, Wang introduced an extended queueing model that integrates visual perception and moral decision-making during emergency evacuations, capturing how pedestrians balance self-preservation with altruistic behavior—a novel contribution that has garnered 13 citations and influenced safety design protocols. Her 2023 study on mutual anticipation in crowds with attention distractions (10 citations) further advances the field by modeling how distracted pedestrians (e.g., smartphone users) disrupt the subtle, reciprocal adjustments that normally enable smooth crowd flow. Wang’s research uniquely quantifies how modern distractions degrade collective self-organization, offering critical insights for managing large-scale events and designing safer public spaces. Her work is widely recognized for its practical implications in urban planning and emergency response, establishing her as a key voice in understanding the complex interplay between individual cognition and emergent crowd behavior.
Research Focus
Key Achievements
Top Papers
- 1An extended queueing model based on vision and morality for crowd evacuation13 citations · 2022
- 2Modeling the Mutual Anticipation in Human Crowds With Attention Distractions10 citations · 2023