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.

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}
}