Journal
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
Volume 46, Issue -, Pages 336-345Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.engappai.2015.06.023
Keywords
Emergency response; Agent-based simulation; Resource allocation optimization
Categories
Funding
- UK EPSRC Grant [EP/G057516/1]
- EPSRC [EP/G057516/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/G057516/1] Funding Source: researchfish
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During a major incident, the emergency services work together to ensure that those casualties who are critically injured are identified and transported to an appropriate hospital as fast as possible. If the incident is multi-site and resources are limited, the efficiency of this process is compromised as the finite resources must be shared among the multiple sites. In this paper, agent-based simulation is used to determine the allocation of resources for a two-site incident which minimizes the latest hospital arrival times for critically injured casualties. Further, how the optimal resource allocation depends on the distribution of casualties across the two sites is investigated. Such application supports the use of agent-based simulation as a tool to aid emergency response. (C) 2015 The Authors. Published by Elsevier Ltd.
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