Description

The applied research concern of preventing crowd disasters — crushes, stampedes, asphyxiation events — through better venue design, better real-time monitoring, and better operational decision-making. Crowd safety is a multi-layer defense problem: design-time simulation, deployment-time monitoring, runtime alerting, and post-incident learning. Wireless sensing contributes the runtime monitoring layer.

Why it's hard

  • Real disasters are rare, fast, and catastrophic — datasets are scarce and ethically fraught.
  • Safety is a system property: a safe venue depends on layout, staffing, signage, and monitoring jointly.
  • Risk thresholds (density, pressure, contact rate) are venue-specific and contested in the literature.
  • Operator-in-the-loop response time competes with the timescale of crowd-failure cascades.
  • Liability concerns make data-sharing across operators and researchers difficult.

Common approaches

  • Swiss-cheese / Vision-Zero defense-in-depth frameworks borrowed from aviation and patient safety.
  • Density / pressure thresholds derived from biomechanics studies as alerting triggers.
  • Crowd-entropy and other aggregated risk metrics for online decision support.
  • Pre-event evacuation simulations to validate venue plans.

Source Papers

  • haghani2023_5c35 — Swiss Cheese Model of Crowd Safety; Vision Zero roadmap.
  • bahamid2026_a88a — crowd-entropy-based prediction model for unidirectional flow.
  • moussad2011_fa42 — how simple rules determine pedestrian behavior and crowd disasters.

6 vault papers address this problem

Titles and DOIs only — no abstracts, no analyses.

  • A continuum theory for the flow of pedestrians 2002 DOI ↗
  • Crowd monitoring using image processing 1995 DOI ↗
  • Crowd Entropy-Based Prediction Model: Unidirectional Flow 2026 DOI ↗
  • A high-resolution meshfree particle method for numerical investigation of second-order macroscopic pedestrian flow models 2024 DOI ↗
  • 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 2023 DOI ↗
  • Crowd flow forecasting via agent-based simulations with sequential latent parameter estimation from aggregate observation 2022 DOI ↗