A multi-agent based framework for the simulation of human and social behaviors during emergency evacuations

Authors:
Xiaoshan Pan;Charles S. Han;Ken Dauber;Kincho H. Law
Affiliations:
CDM Technologies Inc., 93401, San Luis Obispo, CA, USA;Stanford University, Department of Civil and Environmental Engineering, 94305-4020, Stanford, CA, USA;Google Inc., 94043, Mountain View, CA, USA;Stanford University, Department of Civil and Environmental Engineering, 94305-4020, Stanford, CA, USA
Venue:
AI & Society
Year:
2007

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Abstract

Many computational tools for the simulation and design of emergency evacuation and egress are now available. However, due to the scarcity of human and social behavioral data, these computational tools rely on assumptions that have been found inconsistent or unrealistic. This paper presents a multi-agent based framework for simulating human and social behavior during emergency evacuation. A prototype system has been developed, which is able to demonstrate some emergent behaviors, such as competitive, queuing, and herding behaviors. For illustration, an example application of the system for safe egress design is provided.