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Research Article | Open Access |

Task Allocation Model for Rescue Disabled Persons in Disaster Area with Help of Volunteers

Author 1: Kohei Arai Author 2: Tran Xuan Sang Author 3: Nguyen Thi Uyen
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 3, No. 7 · Published 2012 · Cited by 10

DOI: https://doi.org/10.14569/IJACSA.2012.030713

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Abstract

In this paper, we present a task allocation model for search and rescue persons with disabilities in case of disaster. The multi agent-based simulation model is used to simulate the rescue process. Volunteers and disabled persons are modeled as agents, which each have their own attributes and behaviors. The task of volunteers is to help disabled persons in emergency situations. This task allocation problem is solved by using combinatorial auction mechanism to decide which volunteers should help which disabled persons. The disaster space, road network, and rescue process are also described in detail. The RoboCup Rescue simulation platform is used to present proposed model with different scenarios.

Keywords

Task Allocation Model Multi Agent-based Rescue Simulation Auction based Decision Making.

How to Cite this Article

Arai, K., Sang, T. X., & Uyen, N. T. (2012). Task Allocation Model for Rescue Disabled Persons in Disaster Area with Help of Volunteers. International Journal of Advanced Computer Science and Applications, 3(7). https://doi.org/10.14569/IJACSA.2012.030713

Arai, Kohei, et al.. "Task Allocation Model for Rescue Disabled Persons in Disaster Area with Help of Volunteers." International Journal of Advanced Computer Science and Applications, vol. 3, no. 7, 2012, https://doi.org/10.14569/IJACSA.2012.030713.

@article{Arai2012,
  title     = {Task Allocation Model for Rescue Disabled Persons in Disaster Area with Help of Volunteers},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {3},
  number    = {7},
  year      = {2012},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai and Tran Xuan Sang and Nguyen Thi Uyen},
  doi       = {10.14569/IJACSA.2012.030713},
  url       = {https://doi.org/10.14569/IJACSA.2012.030713}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

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