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

Viewed

Total article views: 1,685 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,188 450 47 1,685 50 39
  • HTML: 1,188
  • PDF: 450
  • XML: 47
  • Total: 1,685
  • BibTeX: 50
  • EndNote: 39
Views and downloads (calculated since 09 Nov 2020)
Cumulative views and downloads (calculated since 09 Nov 2020)

Viewed (geographical distribution)

Total article views: 1,685 (including HTML, PDF, and XML) Thereof 1,599 with geography defined and 86 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 16 Jun 2024
Download
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.
Altmetrics
Final-revised paper
Preprint