Design of an Intelligent Individual Evacuation Model for High Rise Building Fires Based on Neural Network within the Scope of 3D GIS
Yazarlar (4)
U. Atila Gazi Üniversitesi, Türkiye
Prof. Dr. İsmail Rakıp KARAŞ Karabük Üniversitesi, Türkiye
M. K. Turan
Karabük Üniversitesi, Türkiye
A. A. Rahman Universiti Teknologi Malaysia, Malezya
Bildiri Türü Açık Erişim Tebliğ/Bildiri Bildiri Dili İngilizce
Bildiri Alt Türü Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum)
Bildiri Niteliği Alanında Hakemli Uluslararası Kongre/Sempozyum
DOI Numarası 10.5194/ISPRSANNALS-II-2-W1-13-2013
Kongre Adı 8th International 3D Geoinformation Conference (3DGeoInfo’xx13)
Kongre Tarihi 27-11-2013 / 29-11-2013
Basıldığı Ülke Türkiye Basıldığı Şehir İstanbul
Bildiri Linki https://publons.com/wos-op/publon/80612575/
UAK Araştırma Alanları
Bilgi Sistemleri
Özet
One of the most dangerous disaster threatening the high rise and complex buildings of today's world including thousands of occupants inside is fire with no doubt. When we consider high population and the complexity of such buildings it is clear to see that performing a rapid and safe evacuation seems hard and human being does not have good memories in case of such disasters like world trade center 9/11. Therefore, it is very important to design knowledge based realtime interactive evacuation methods instead of classical strategies which lack of flexibility. This paper presents a 3D-GIS implementation which simulates the behaviour of an intelligent indoor pedestrian navigation model proposed for a self -evacuation of a person in case of fire. The model is based on Multilayer Perceptron (MLP) which is one of the most preferred artificial neural network architecture in classification and prediction problems. A sample fire scenario following through predefined instructions has been performed on 3D model of the Corporation Complex in Putrajaya (Malaysia) and the intelligent evacuation process has been realized within a proposed 3D-GIS based simulation.
Anahtar Kelimeler
3D-GIS | Evacuation | Intelligent Routing | Multilayer Perceptron | Navigation | Network Analysis