Emergency evacuation refers to the rapid, organized displacement of individuals or crowds from a hazardous or potentially hazardous environment to a place of safety, typically triggered by events such as fires, structural failures, or crowd crushes. In the context of WiFi/CSI sensing and crowd safety research, it matters because accurately detecting, localizing, and tracking large numbers of people in real time is critical to informing timely and effective evacuation decisions, identifying bottlenecks, and preventing fatalities. Key variants include planned or drilled evacuations, spontaneous unplanned evacuations driven by panic, and partial evacuations of specific zones, each posing distinct challenges in terms of crowd density estimation, flow modeling, and the reliability of sensing infrastructure under high-occupancy conditions.
Source Papers
- A crowd team evacuation model considering spring effect ↗ — A crowd team evacuation model considering spring effect
- A review on crowd simulation and modeling ↗ — A review on crowd simulation and modeling
- A roadmap for the future of crowd safety research and practice: Introducing the Swiss Cheese Model of Crowd Safety and the imperative of a Vision Zero target ↗ — A roadmap for the future of crowd safety research and practi
- Social force models for pedestrian traffic – state of the art ↗ — Social force models for pedestrian traffic – state of the ar