Intelligent indoor evacuation guidance system based on ant colony algorithm

Abstract : The most dangerous emergency situations are those threatening a high population in complex and large scale buildings. Traditional evacuation plans seem to be inefficient and lack of flexibility owing to the difficulty in predicting both the behavior of evacuees and building status in such disasters. The emergence of smart building and technologies can help to design real-time evacuation guidance systems. They will provide shortest routes for evacuees regarding their position in the building by avoiding crowd and fire propagation. We propose a guidance system based on an ant colony optimizer. Experiments are performed to illustrate the ability of this intelligent guidance system in providing realistic plans according to the building parameters. Also, the decision maker can assess the safety of a given building by simulating evacuation process.
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Communication dans un congrès
AICCSA 2017 - 14th ACS/IEEE International Conference on Computer Systems and Applications, Oct 2017, Hammamet, Tunisia. IEEE, Computer Systems and Applications (AICCSA), 2017 IEEE/ACS 14th International Conference on, pp.1035-1042, 〈10.1109/AICCSA.2017.47〉
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https://hal.inria.fr/hal-01654880
Contributeur : Talbi El-Ghazali <>
Soumis le : lundi 4 décembre 2017 - 14:43:43
Dernière modification le : mardi 3 juillet 2018 - 11:23:40

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El-Ghazali Talbi, Manel Hajjem, Hind Bouziri, Khaled Mellouli. Intelligent indoor evacuation guidance system based on ant colony algorithm. AICCSA 2017 - 14th ACS/IEEE International Conference on Computer Systems and Applications, Oct 2017, Hammamet, Tunisia. IEEE, Computer Systems and Applications (AICCSA), 2017 IEEE/ACS 14th International Conference on, pp.1035-1042, 〈10.1109/AICCSA.2017.47〉. 〈hal-01654880〉

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