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Emergency response in complex buildings: Automated selection of safest and balanced routes

Zverovich, Vadim; Mahdjoubi, Lamine; Boguslawski, Pawel; Fadli, Fodil; Barki, Hichem

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Authors

Fodil Fadli

Hichem Barki



Abstract

The extreme importance of emergency response in complex buildings during natural and human-induced disasters has been widely acknowledged. In particular, there is a need for efficient algorithms for finding safest evacuation routes, which would take into account the 3-D structure of buildings, their relevant semantics, and the nature and shape of hazards. In this article, we propose algorithms for safest routes and balanced routes in buildings, where an extreme event with many epicenters is occurring. In a balanced route, a trade-off between route length and hazard proximity is made. The algorithms are based on a novel approach that integrates a multiattribute decision-making technique, Dijkstra's classical algorithm and the introduced hazard proximity numbers, hazard propagation coefficient and proximity index for a route.

Journal Article Type Article
Publication Date Aug 1, 2016
Journal Computer-Aided Civil and Infrastructure Engineering
Print ISSN 1093-9687
Electronic ISSN 1467-8667
Publisher Wiley
Peer Reviewed Peer Reviewed
Volume 31
Issue 8
Pages 617-632
APA6 Citation Zverovich, V., Mahdjoubi, L., Boguslawski, P., Fadli, F., & Barki, H. (2016). Emergency response in complex buildings: Automated selection of safest and balanced routes. Computer-Aided Civil and Infrastructure Engineering, 31(8), 617-632. https://doi.org/10.1111/mice.12197
DOI https://doi.org/10.1111/mice.12197
Keywords navigable networks, indoor navigation, emergency response, safest and balanced routes
Publisher URL http://dx.doi.org/10.1111/mice.12197
Additional Information Additional Information : This is the peer reviewed version of the following article: Zverovich, V., Mahdjoubi, L., Boguslawski, P., Fadli, F. and Barki, H. (2016) Emergency response in complex buildings: Automated selection of safest and balanced routes. Computer-Aided Civil and Infrastructure Engineering, 31 (8). pp. 617-632, which has been published in final form at http://dx.doi.org/10.1111/mice.12197. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.

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