GLENN I. HAWE, GRAHAM COATES, DUNCAN T. WILSON and ROGER S. CROUCH.
ACM Computing Surveys (CSUR), Volume 45 Issue 1, November 2012.
Durham University, U.K
Abstract
When attempting to determine how to respond optimally to a large-scale emergency, the ability to predict the consequences of certain courses of action in silico is of great utility. Agent-based simulations (ABSs) have become the de facto tool for this purpose; however, they may be used and implemented in a variety of ways. This article reviews existing implementations of ABSs for large-scale emergency response, and presents a taxonomy classifying them by usage. Opportunities for improving ABS for large-scale emergency response are identified.
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