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Un nuevo marco de evaluación del riesgo del flujo peatonal basado en datos para evitar incidentes de estampida

Zi-Xuan Zhou1, Kai Liu2, Pei-Yang Wu3

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Este estudio introduce un marco basado en datos para controlar las multitudes de alta densidad, mejorando la seguridad en los espacios públicos. Permite la detección temprana de los riesgos de hacinamiento mediante el análisis del flujo de peatones y la capacidad del edificio.

Palabras clave:
Flujo peatonal multidireccionalAprendizaje por refuerzoCapacidad de seguridadPrevención de las estampidasInformación visual

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Área de la Ciencia:

  • * Ciencias sociales computacionales
  • * Planificación urbana y seguridad
  • * Inteligencia artificial en la gestión de multitudes

Sus antecedentes:

  • * Las herramientas de simulación de multitudes existentes luchan con complejidades del mundo real como destinos variados y flujos multidireccionales.
  • * El control de las aglomeraciones de alta densidad en espacios públicos es crucial para prevenir accidentes y garantizar la seguridad.
  • * Las zonas comunes presentan a menudo diseños espaciales complejos que desafían los métodos actuales de control.

Objetivo del estudio:

  • * Introducir un nuevo marco multiagente basado en datos para evaluar la dinámica de las multitudes y las condiciones de alerta temprana.
  • * Desarrollar un sistema capaz de manejar diversos diseños espaciales y comportamientos peatonales.
  • * Mejorar la predicción y prevención de incidentes de hacinamiento en espacios públicos.

Principales métodos:

  • * Utiliza información visual en tiempo real y aprendizaje por refuerzo para la toma de decisiones inteligentes.
  • * Utiliza un algoritmo auto-iterativo para la planificación de la trayectoria que imita el movimiento de los peatones en el mundo real.
  • * Asegura la adaptabilidad del modelo en varios escenarios sin necesidad de ajustar los parámetros.

Principales resultados:

  • * El marco reproduce con precisión el flujo de peatones en diversos escenarios complejos.
  • * Se ha identificado una transición de estado discontinua en el flujo peatonal a medida que aumenta la densidad.
  • * Propuso un método para detectar la capacidad de tráfico de edificios y establecer umbrales de advertencia de hacinamiento.

Conclusiones:

  • * El marco desarrollado evalúa eficazmente la dinámica de las multitudes y predice las condiciones de alerta temprana.
  • * El diseño espacial racional y la orientación de la información pueden mejorar significativamente la movilidad y reducir los riesgos de estampida.
  • * El enfoque ofrece un método para la gestión proactiva de la seguridad de las multitudes sin expansión arquitectónica.