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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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https://doi.org/10.5194/nhess-2020-277
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-2020-277
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  09 Nov 2020

09 Nov 2020

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This preprint is currently under review for the journal NHESS.

USAR simulation system: presenting spatial strategies in agents' task allocation under uncertainties

Navid Hooshangi1, Ali Asghar Alesheikh2, Mahdi Panahi3,4, and Saro Lee4,5 Navid Hooshangi et al.
  • 1Assistant Professor, Department of Surveying Engineering, Arak University of Technology, Arak, Iran,Postal code 3818146763
  • 2Professor in geospatial information science, Faculty of Geodesy and Geomatics Engineering, K.N. Toosi University of Technology, Tehran, Iran
  • 3Division of Science Education, Kangwon National University, College of Education, # 4-301, Gangwondaehakgil, Chuncheon-si, Gangwon-do 24341, South Korea
  • 4Geoscience Platform Division, Korea Institute of Geoscience and Mineral Resources (KIGAM), 124, Gwahakro Yuseong-gu, Daejeon 34132, Korea
  • 5Department of Geophysical Exploration, Korea University of Science and Technology, 217 Gajeong-ro Yuseonggu, Daejeon 34113, Korea

Abstract. Task allocation in uncertainty conditions is a key problem for agents attempting to achieve harmony in disaster environments. This paper presents an agent- based simulation to investigate tasks allocation through the consideration of appropriate spatial strategies to deal with uncertainty in urban search and rescue (USAR) operation. The proposed method is presented in five phases: ordering existing tasks, finding coordinating agent, holding an auction, applying allocation strategies, and implementation and observation of environmental uncertainties. The methodology was evaluated in Tehran's District 1 for 6.6, 6.9, and 7.2 magnitude earthquakes. The simulation started by calculating the number of injured individuals, which was 28856, 73195 and 111463 people for each earthquake, respectively. The Simulations were performed for each scenario for a variety of rescuers (1000, 1500, 2000 rescuer). In comparison with contract net protocol (CNP), the standard time of rescue operations in the proposed approach includes at least 13% of improvement and the best percentage of recovery was 21 %. Interval uncertainty analysis and the comparison of the proposed strategies showed that an increase in uncertainty leads to an increased rescue time for CNP of 67.7 hours, and for strategies one to four an increased rescue time of 63.4, 63.2, 63.7, and 56.5 hours, respectively. Considering strategies in the task allocation process, especially spatial strategies, resulted in the optimization and increased flexibility of the allocation as well as conditions for fault tolerance and agent-based cooperation stability in USAR simulation system.

Navid Hooshangi et al.

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Navid Hooshangi et al.

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