TR209: A Computational Framework for Egress Analysis with Realistic Human Behaviors

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Abstract/Contents

Abstract: Studies of past emergency events indicate that evacuating occupants often exhibit social behaviors that affect the evacuation process. This paper describes a multi-agent based simulation tool which enables the modeling of social behaviors during evacuation. In this modeling framework, each agent has a three-level representation that allows users to incorporate individual, group, and crowd behavioral rules in simulation. This paper describes the basic framework and the implementation of several social behaviors, which are based on recent social science studies about human response in emergency situations. Simulation results from the prototype reveals that social behaviors exhibited by the evacuating crowd can lead to changes in the overall egress time and pattern. By representing the virtual agents and the environment specific to evacuation situation, the research addresses the issues in incorporating human and social behaviors in egress simulation.

Type of resource	text
Date created	September 2012

Subject	Center for Integrated Facility Engineering
Subject	Stanford University
Subject	Agent-Based Simulation
Subject	Decision-Making
Subject	Design
Subject	Emergency evacuation
Subject	Human and social behaviors
Subject	Human factors
Subject	Simulation
Genre	Technical report

Location	https://purl.stanford.edu/xd496vd8820

Use and reproduction: User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.

Preferred Citation: Chu, Mei Lin and Law, Kincho and Latombe, Jean-Claude. (2012). TR209: A Computational Framework for Egress Analysis with Realistic Human Behaviors. Stanford Digital Repository. Available at: http://purl.stanford.edu/xd496vd8820

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