Articles | Volume 21, issue 11
https://doi.org/10.5194/nhess-21-3449-2021
https://doi.org/10.5194/nhess-21-3449-2021
Research article
 | 
15 Nov 2021
Research article |  | 15 Nov 2021

Urban search and rescue (USAR) simulation system: spatial strategies for agent task allocation under uncertain conditions

Navid Hooshangi, Ali Asghar Alesheikh, Mahdi Panahi, and Saro Lee

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Latest update: 23 Nov 2024
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Short summary
Task allocation under uncertain conditions is a key problem for agents attempting to achieve harmony in disaster environments. This paper presents an agent-based simulation to investigate task allocation considering appropriate spatial strategies to manage uncertainty in urban search and rescue (USAR) operations.
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