Agent-based model predicts crowd movement

A team of researchers from the University of Maryland has developed an agent-based model to predict crowd behavior and movement. The model allows users to test the effects of 30 different types of individual behavior on the behavior of the group. The visual model, which allows users to have an immersive experience, can help in disaster relief planning following riots.

The video begins with a simulated riot where characters are static and where the emphasis is on social interaction, decision-making and the connection between geography and social agency.  But the crowd models that follow focus on how a group of people moves around.

See the video here.

Read more at New Scientist TV: Virtual rioters predict how crowds move and here.

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