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An agent-based simulation of the L.A. 1992 riots

Date

2006

Authors

Bhat, Sudeep S., author
Maciejewski, Anthony A., author
CSREA Press, publisher

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Abstract

The Los Angeles riot in the spring of 1992 remains an ever-haunting example of the destructive manner in which some individuals handle social rage. While understanding some of the myriad of reasons for social rage could help address the psychological nature of such a problem, this work focuses on developing a model of the physical interactions that may precipitate a riot. In particular, an agent-based model is used to create both a car physics model and a social force model that are used to simulate a riot at an intersection. An example is given where emergent behaviors that closely match those in a riot situation, i.e., where cars are stopped and drivers are attacked, are obtained by choosing appropriate parameters for the models.

Description

Research paper presented for the Conference on Artificial Intelligenced (ICAI'06) held within the Worldcomp '06: Las Vegas, Nevada, June 26-29, 2006.

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Subject

traffic simulation
agent-based modeling
riot control
pedestrian flow modeling

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