RESCUE: Crowd Evacuation Simulation via Controlling SDM-United Characters

Evacuation simulations are vital for improving safety, pinpointing risks, and refining emergency protocols. However, no existing methods can simulate realistic, personalized, and online 3D evacuation motions. In this paper, aligned with the sensory-decision-motor (SDM) flow of the human brain, we propose an online SDM-united 3D evacuation simulation framework with a 3D-adaptive Social Force Model and a proxemics-aware personalization method. Additionally, we introduce Part-level Force Visualization to assist in evacuation analysis. We experimentally validate that our framework supports online personalized dynamic path planning and behaviors throughout the evacuation process, and is compatible with uneven terrain. Visually, our method generates evacuation results that are more realistic and plausible, providing enhanced insights for evacuation strategy development. The code will be released for research purposes.