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A Multiagent-Based Domain Transportation Approach for Optimal Resource Allocation in Emergency Management

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Multi-agent and Complex Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 670))

Abstract

In metropolitan regions, emergency events request urgent response within a short time limit in order to minimise the damage and the number of fatality. Most of these events require different resources that are usually distributed over a large area. How to efficiently allocate the distributed resources to an event is a challenging research issue. Traditional centralised resource allocation approaches have difficulties to find out the best resource assignment within the event’s time limits by considering the dynamics of the metropolitan environment and the event itself. In this paper, a multiagent-based decentralised resource allocation approach using domain transportation theory is proposed to handle an emergency event with multiple tasks. Experimental results indicates that the proposed approach can effectively generate the optimal resource allocation plans by considering multiple factors of an emergency event.

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Author information

Authors and Affiliations

  1. School of Computing and Information Technology, University of Wollongong, Wollongong, Australia

    Jihang Zhang, Minjie Zhang & Fenghui Ren

  2. School of Mathematics and Applied Statistics, University of Wollongong, Wollongong, Australia

    Jiakun Liu

Authors
  1. Jihang Zhang
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  2. Minjie Zhang
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  3. Fenghui Ren
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  4. Jiakun Liu
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Corresponding author

Correspondence to Jihang Zhang .

Editor information

Editors and Affiliations

  1. Auckland University of Technology, Auckland, New Zealand

    Quan Bai

  2. University of Wollongong, Wollongong, New South Wales, Australia

    Fenghui Ren

  3. Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan

    Katsuhide Fujita

  4. University of Wollongong, Wollongong, New South Wales, Australia

    Minjie Zhang

  5. Nagoya Institute of Technology, Nagoya, Japan

    Takayuki Ito

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© 2017 Springer Science+Business Media Singapore

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Zhang, J., Zhang, M., Ren, F., Liu, J. (2017). A Multiagent-Based Domain Transportation Approach for Optimal Resource Allocation in Emergency Management. In: Bai, Q., Ren, F., Fujita, K., Zhang, M., Ito, T. (eds) Multi-agent and Complex Systems. Studies in Computational Intelligence, vol 670. Springer, Singapore. https://doi.org/10.1007/978-981-10-2564-8_2

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  • DOI: https://doi.org/10.1007/978-981-10-2564-8_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2563-1

  • Online ISBN: 978-981-10-2564-8

  • eBook Packages: EngineeringEngineering (R0)

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