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DOI: 10.14569/IJACSA.2012.030713
PDF

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), Volume 3 Issue 7, 2012.

  • Abstract and Keywords
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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.

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



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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