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DOI: 10.14569/IJARAI.2012.010701
PDF

Evacuation Path Selection for Firefighters Based on Dynamic Triangular Network Model

Author 1: Qianyi Zhang
Author 2: Demin Li
Author 3: Yajuan An

International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 1 Issue 7, 2012.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Path selection is one of the critical aspects in emergency evacuation. In a fire scene, how to choose an optimal evacuation path for firefighters is a challenging aspect. In this paper, firstly, a dynamic triangular network model formed by robots is presented. On the basis of this model, directed graph is established in order to calculate direct paths. Then multi-parameter information fusion which includes smoke density, temperature and oxygen density is discussed in detail for environment safety evaluation. Based on the discussions, a new way has been proposed for optimal path selection, taking into consideration the safety-factor of the path. The objectives of the method are to minimize the path lengths, at the same time, to protect firefighters from the dangerous regions. In the end, numerical simulation results prove the feasibility and superiority of this method.

Keywords: Evacuation Path Selection; Information Fusion; Dynamic Triangular Network Model.

Qianyi Zhang, Demin Li and Yajuan An, “Evacuation Path Selection for Firefighters Based on Dynamic Triangular Network Model” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 1(7), 2012. http://dx.doi.org/10.14569/IJARAI.2012.010701

@article{Zhang2012,
title = {Evacuation Path Selection for Firefighters Based on Dynamic Triangular Network Model},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2012.010701},
url = {http://dx.doi.org/10.14569/IJARAI.2012.010701},
year = {2012},
publisher = {The Science and Information Organization},
volume = {1},
number = {7},
author = {Qianyi Zhang and Demin Li and Yajuan An}
}



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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