Serious Games Predict Crowd Behavior in Dense Urban Settings

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by: Eliane Alhadeff

Scientists who want to see how a crowd behaves in an emergency can now shout “Fire!” on a city street and watch everyone panic and run thanks to a newly developed computer simulation.

people, or “agents,” run from a burning car. The simulation tries to
predict how real people would react in such an emergency. Credit: Paul Torrens,
Arizona State University

The 3-D model starts with patterns of human behavior and movement and uses them
to simulate the behavior of a crowd in mob situations and pedestrian habits
under certain building configurations, resulting in a virtual crowd video.

“Crowds are vital to the lifeblood of our cities,” said the model’s
creator, Paul Torrens of Arizona State University. But, he adds, it is
impractical “to establish live experiments with hundreds or thousands of
people along busy streetscapes, to reproduce mob behavior during riots for the
purposes of academic experimentation, or, to expect to replicate the life and
death behavior under emergency situations in a fabricated fashion.”.”

Torrens’s model uses what he calls an “agent-based methodology.” He
can put individual people, or “agents,” each with different
characteristics of age, sex, size and health, into the model and have them
process information about the world around them. Their unique characteristic
combinations make the agents interpret that information and react in different

pedestrians are part of Paul Torrens’ research into crowd behaviors

“It’s the same way we process information in the real world,”
Torrens said. Though you’re not aware of it, when you walk down a crowded
street, your brain is constantly monitoring your surroundings and planning the
path you will take to your destination while simultaneously monitoring for

A prototype that Torrens has developed models the evacuation of a crowded
area during a fire when there is only one point of escape, but he has used his
method to develop a primitive model of a situation in which a disease spreads
through casual contact, and he is attempting to create scenarios in which
agitated crowds turn into unruly mobs.

drops 300 of these agents on an urban street, where a convertible catches fire
on the side of the road. The fire is generated by a physically realistic model
with smoke, embers, and mobile toxins. The virtual pedestrians are subject to
real-world hazards: they can trip or fall, and even catch fire. All are
instructed to evacuate the area to safety on the right side of the image.

The model could also be used in planning
cities to optimize walking space for pedestrians and alleviate congestion.

See the Modeled Evacuation

Via: Discover
The Sim That Saves People from Each Other

and Arizona State UniversityGeographer
designs computer model to predict crowd behavior

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