ISPRS-Annals ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Annals ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9050 Copernicus Publications Göttingen, Germany 10.5194/isprsannals-II-2-W1-13-2013 DESIGN OF AN INTELLIGENT INDIVIDUAL EVACUATION MODEL FOR HIGH RISE BUILDING FIRES BASED ON NEURAL NETWORK WITHIN THE SCOPE OF 3D GIS Atila U. 1 Karas I. R. 2 Turan M. K. 2 Rahman A. A. 3 Ankara MYO, Gazi University, Ankara, Turkey Department of Computer Engineering, Karabuk University, Karabuk, Turkey Department of Geoinformatics, UniversitiTeknologi Malaysia, Johor, Malaysia 13 09 2013 II-2/W1 13 24 Copyright: © 2013 U. Atila et al. 2013 This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/ This article is available from https://isprs-annals.copernicus.org/articles/II-2-W1/13/2013/isprs-annals-II-2-W1-13-2013.html The full text article is available as a PDF file from https://isprs-annals.copernicus.org/articles/II-2-W1/13/2013/isprs-annals-II-2-W1-13-2013.pdf

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. <br><br> 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.