Agent-based simulation for large-scale emergency response: A survey of usage and implementation

  • Authors:
  • Glenn I. Hawe;Graham Coates;Duncan T. Wilson;Roger S. Crouch

  • Affiliations:
  • Durham University, U.K;Durham University, U.K;Durham University, U.K;Durham University, U.K

  • Venue:
  • ACM Computing Surveys (CSUR)
  • Year:
  • 2012

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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.