Human crowds are best modeled by a 'visual neighborhood'

Human crowd dynamics are best predicted by a visual neighborhood model, based on the visual fields of each person in the crowd. Birds flock, fish school, and human crowds, too, move in a collective motion pattern. Understanding human crowd behavior can be useful for preventing jams, crushes, and stampedes. Mathematical models of collective motion are typically based on characterizing the local interactions between individuals.


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Source: Phys.org