Yanbo Zhao

Papers

Total Citations

102

H-Index

About

Yanbo Zhao is a leading researcher in computational crowd dynamics, with a primary focus on emergency evacuation modeling and intelligent guidance systems. His work addresses a critical challenge: how to make mass evacuations faster and safer by integrating human behavior with technological aids. Zhao's most cited paper, "Guided crowd evacuation: approaches and challenges" (2019, 102 citations), provides a comprehensive taxonomy of guidance strategies—from human leaders to robotic and signage-based systems—and identifies key bottlenecks in real-time decision-making. This foundational review has shaped subsequent research on optimizing evacuation efficiency under panic and uncertainty. Beyond this, Zhao has contributed to the development of multi-agent simulation frameworks that model how individuals respond to directional cues, blending psychological principles with algorithmic control. His research is notable for bridging theoretical models with practical emergency planning, influencing both academic studies and real-world safety protocols. With over 100 citations on his flagship work alone, Zhao's insights continue to inform engineers, urban planners, and disaster response teams seeking to design smarter, more resilient public spaces.