Crowd evacuation refers to the process by which groups of individuals collectively exit a confined or bounded space, such as a building or indoor environment, often under conditions of urgency or panic. Understanding and modeling this phenomenon is critical for public safety engineering, emergency response planning, and, increasingly, for WiFi/CSI sensing research that aims to detect, monitor, and predict large-scale human movement and behavioral dynamics in indoor spaces. Key variants in the literature include panic-driven escape scenarios, where pedestrians exhibit self-driven force interactions and jamming effects at exits, and disease-coupled evacuation models that integrate epidemiological contagion dynamics with crowd flow, reflecting the dual challenge of managing both physical crowd behavior and health risk during emergency scenarios.
Source Papers
- A crowd team evacuation model considering spring effect ↗ — A crowd team evacuation model considering spring effect
- A hybrid mesoscopic/agent-based model for crowd dynamics with emotional contagion ↗ — A hybrid mesoscopic/agent-based model for crowd dynamics wit
- Continuum theory for pedestrian traffic flow: Local route choice modelling and its implications ↗ — Continuum theory for pedestrian traffic flow: Local route ch
- State-of-the-art crowd motion simulation models ↗ — State-of-the-art crowd motion simulation models