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A dynamic resource allocation approach for concurrent emergency events in metropolitan regions

Conference Paper


Abstract


  • The rescue operations for emergency events usually require multiple emergency departments to cooperate with each other to provide effective and efficient resource allocation plans within a short time limit and dynamically adjust the plans as necessary. In the paper, an agent-based resource allocation approach is proposed to automatically allocate rescue resources to concurrent emergency events by the consideration of dynamic changes in terms of event variation, task variation and resource execution variation.

Publication Date


  • 2017

Citation


  • Zhang, J., Zhang, M. & Ren, F. (2017). A dynamic resource allocation approach for concurrent emergency events in metropolitan regions. In S. Das, E. Durfee, K. Larson & M. Winkoff (Eds.), 16th International Conference on Autonomous Agents and Multiagent Systems (pp. 1775-1777). United States: International Foundation for Autonomous Agents and Multiagent Systems.

Scopus Eid


  • 2-s2.0-85046401647

Start Page


  • 1775

End Page


  • 1777

Place Of Publication


  • United States

Abstract


  • The rescue operations for emergency events usually require multiple emergency departments to cooperate with each other to provide effective and efficient resource allocation plans within a short time limit and dynamically adjust the plans as necessary. In the paper, an agent-based resource allocation approach is proposed to automatically allocate rescue resources to concurrent emergency events by the consideration of dynamic changes in terms of event variation, task variation and resource execution variation.

Publication Date


  • 2017

Citation


  • Zhang, J., Zhang, M. & Ren, F. (2017). A dynamic resource allocation approach for concurrent emergency events in metropolitan regions. In S. Das, E. Durfee, K. Larson & M. Winkoff (Eds.), 16th International Conference on Autonomous Agents and Multiagent Systems (pp. 1775-1777). United States: International Foundation for Autonomous Agents and Multiagent Systems.

Scopus Eid


  • 2-s2.0-85046401647

Start Page


  • 1775

End Page


  • 1777

Place Of Publication


  • United States