Crowd Evacuation

Crowd evacuation research focuses on optimizing the safe and efficient movement of large groups of people during emergencies, aiming to minimize evacuation times and casualties. Current research employs diverse modeling approaches, including agent-based simulations incorporating game theory to predict individual behavior, continuum models leveraging hydrodynamic principles and robot guidance, and data-driven methods like vision transformers trained on synthetic data to predict evacuation times from building floorplans. These advancements offer significant potential for improving building design, emergency response planning, and the development of effective robot-assisted evacuation strategies.