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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Decision Making and Emergency Communication System in Rescue Simulation for People with Disabilities

Author 1: Kohei Arai Author 2: Tran Xuan Sang
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 2, No. 3 · Published 2013 · Cited by 17

DOI: https://doi.org/10.14569/IJARAI.2013.020312

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Abstract

Decision making and emergency communication system play important roles in rescue process when emergency situations happen. The rescue process will be more effective if we have appropriate decision making method and accessible emergency communication system. In this paper, we propose a centralized rescue model for people with disabilities. The decision making method to decide which volunteers should help which disabled persons is proposed by utilizing the auction mechanism. The GIS data are used to present the objects in a large-scale disaster simulation environment such as roads, buildings, and humans. The Gama simulation platform is used to test our proposed rescue simulation model.

Keywords

Rescue Simulation for people with disablities GIS Multi Agent-based Rescue Simulation Auction based Decision Making

How to Cite this Article

Arai, K., & Sang, T. X. (2013). Decision Making and Emergency Communication System in Rescue Simulation for People with Disabilities. International Journal of Advanced Research in Artificial Intelligence, 2(3). https://doi.org/10.14569/IJARAI.2013.020312

Arai, Kohei, and Tran Xuan Sang. "Decision Making and Emergency Communication System in Rescue Simulation for People with Disabilities." International Journal of Advanced Research in Artificial Intelligence, vol. 2, no. 3, 2013, https://doi.org/10.14569/IJARAI.2013.020312.

@article{Arai2013,
  title     = {Decision Making and Emergency Communication System in Rescue Simulation for People with Disabilities},
  journal   = {International Journal of Advanced Research in Artificial Intelligence},
  volume    = {2},
  number    = {3},
  year      = {2013},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai and Tran Xuan Sang},
  doi       = {10.14569/IJARAI.2013.020312},
  url       = {https://doi.org/10.14569/IJARAI.2013.020312}
}

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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