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Subtle Movements in Crowds Lead to Large-Scale Phenomena

NSF Award:

CAREER: Exploring the Dynamics of Individual Pedestrian and Crowd Behavior in Dense Urban Settings: A Computational Approach  (Arizona State University)

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Arizona State University researchers are looking into crowd behaviors, such as riots and evacuations, to gain insight into the dynamics behind them. They are developing computer-based models to better understand how an individual's action in a large crowd affects the individual's subsequent action and the actions of the crowd as a whole. The research builds virtual laboratories to experiment with ideas and theories about crowd behavior and dynamics that would otherwise be impenetrable to academic inquiry. The results may be used as a training aid for law enforcement on how to handle a panicked or violent crowd.

The research involves creating computer-simulated environments to experiment with crowd behavior and track the behavior of a single individual agent in the environment. Each agent possesses a computable "brain" that allows it to function as a distinctive individual within the broader group framework. Those conducting experiments can record and analyze each agent's behavior, activity and social and anti-social interactions, and they can explore how those behaviors adapt as conditions unfold. For example, they found that an individual's subtle stop-and-start movement amid panicked crowds caused larger waves, which then washed through the crowd, causing further obstructions and ultimately large-scale congestion. Knowing the behaviors and dynamics behind these situations enables law-enforcement officials to explore different strategies for maintaining calm and handling large crowds in an efficient manner.

Images (1 of )

  • Illustration of a fleeing crowd of artificial agents
  • Illustration of simulated city
  • Illustration of a large auditorium clearing calmly through a small exit
  • Illustration of diverse agents with distinct body language
The fleeing crowd has enough room to egress efficiently through the urban canyon formed by the interstitial space between buildings.
Paul M. Torrens, Arizona State University
Permission Granted
The researchers are designing realistic synthetic cities, which may be flooded with agents of diverse types and behaviors. These synthetic cities then serve as an artificial laboratory for exploring scenarios of human movement and social interaction in urban environments and for diverse scenarios.
Paul M. Torrens, Arizona State University
Permission Granted
A large auditorium is cleared calmly through a small exit. From an initial start point of rest, agents begin to evacuate a large auditorium quickly by running as fast as possible to safety through a narrow exit. Wedge-like bottlenecks soon form at the mouth of the exit corridor and congestion begins to ripple back through the crowd, impeding further clearing. Similar dynamics are often observed during rush hour commutes on highways.
Paul M. Torrens, Arizona State University
Permission Granted
In this scenario, the model is run with 14 different agent types, ranging from children to adult to seniors, males, females, agents with ambulatory difficulties, intoxicated agents, "pushy" agents and "passive" agents. For each agent type, varying behaviors are programmed and the agents are endowed with diverse body language from motion capture data.
Paul M. Torrens, Arizona State University
Permission Granted

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