Yuji Hasemi

Papers

Total Citations

H-Index

About

Yuji Hasemi is a leading researcher in pedestrian dynamics and fire safety engineering, with a focus on modeling human behavior in emergency scenarios. His most notable contribution is the development of the motor schema-based cellular automaton model for pedestrian dynamics, a groundbreaking approach that treats each pedestrian as an intelligent mobile robot navigating through complex environments. This model, published in 2006, integrates motor schemas such as move-to-goal, avoid-away, and avoid-around to simulate realistic crowd movements and interactions. Although the paper has accumulated 9 citations, its conceptual innovation has influenced subsequent studies in evacuation modeling and crowd behavior analysis. Hasemi's work bridges robotics, artificial intelligence, and safety science, offering a computational framework that captures the nuanced decision-making of individuals in crowds. His research has practical implications for designing safer public spaces and improving emergency evacuation protocols. As a scholar, Hasemi continues to advance the understanding of how human factors shape collective dynamics, making his contributions valuable for students and researchers interested in the intersection of computational modeling, human behavior, and safety engineering.