Title

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

RIS ID

111564

Publication Details

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

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.

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Link to publisher version (DOI)

http://dx.doi.org/10.1007/978-3-319-50127-7_5