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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Zhang, J., Zhang, M., Ren, F., Liu, J. (2016). Enable Efficient Resource Deployment in Multiple Concurrent Emergency Events Through a Decentralised MAS. In: Kang, B.H., Bai, Q. (eds) AI 2016: Advances in Artificial Intelligence. AI 2016. Lecture Notes in Computer Science(), vol 9992. Springer, Cham. https://doi.org/10.1007/978-3-319-50127-7_5
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DOI: https://doi.org/10.1007/978-3-319-50127-7_5
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