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