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Enable efficient resource deployment in multiple concurrent emergency events through a decentralised MAS

Journal Article


Abstract


  • In metropolitan regions, emergency events could happen concurrently at different places with different severities, types, deadlines and resource requirements. Due to the complexity, unpredictability, dynamic natures and potential resource contention problems among these events, traditional resource allocation approaches may have difficulties to efficiently and effectively deploy resources to these emergency events concurrently, which may result in a considerable increase in fatalities. In this paper, an multi-agent based decentralised resource allocation approach is proposed to coordinate and allocate resources to multiple concurrent emergency events. Besides, an emergency resource deployment simulation system based on GoogleMaps is developed for testing the proposed approach in a virtual metropolitan environment.

Publication Date


  • 2016

Citation


  • Zhang, J., Zhang, M., Ren, F. & Liu, J. (2016). Enable efficient resource deployment in multiple concurrent emergency events through a decentralised MAS. Lecture Notes in Computer Science (LNCS), 9992 56-68. Hobart, Australia 29th Australasian Joint Conference on Artificial Intelligence: AI 2016: Advances in Artificial Intelligence

Scopus Eid


  • 2-s2.0-85007240204

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/6507

Number Of Pages


  • 12

Start Page


  • 56

End Page


  • 68

Volume


  • 9992

Place Of Publication


  • Germany

Abstract


  • In metropolitan regions, emergency events could happen concurrently at different places with different severities, types, deadlines and resource requirements. Due to the complexity, unpredictability, dynamic natures and potential resource contention problems among these events, traditional resource allocation approaches may have difficulties to efficiently and effectively deploy resources to these emergency events concurrently, which may result in a considerable increase in fatalities. In this paper, an multi-agent based decentralised resource allocation approach is proposed to coordinate and allocate resources to multiple concurrent emergency events. Besides, an emergency resource deployment simulation system based on GoogleMaps is developed for testing the proposed approach in a virtual metropolitan environment.

Publication Date


  • 2016

Citation


  • Zhang, J., Zhang, M., Ren, F. & Liu, J. (2016). Enable efficient resource deployment in multiple concurrent emergency events through a decentralised MAS. Lecture Notes in Computer Science (LNCS), 9992 56-68. Hobart, Australia 29th Australasian Joint Conference on Artificial Intelligence: AI 2016: Advances in Artificial Intelligence

Scopus Eid


  • 2-s2.0-85007240204

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/6507

Number Of Pages


  • 12

Start Page


  • 56

End Page


  • 68

Volume


  • 9992

Place Of Publication


  • Germany