Atila, U.Karas, I.R.Turan, M.K.Rahman, A.A.2024-09-292024-09-2920132194-9042https://doi.org/10.5194/isprsannals-II-2-W1-13-2013https://hdl.handle.net/20.500.14619/8825ISPRS 8th 3D GeoInfo Conference and WG II/2 Workshop -- 27 November 2013 through 29 November 2013 -- Istanbul -- 134306One 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. © 2013 Copernicus. All Rights Reserved.eninfo:eu-repo/semantics/openAccess3D-GISEvacuationIntelligent RoutingMultilayer PerceptronNavigationNetwork AnalysisConference Object10.5194/isprsannals-II-2-W1-13-20132-s2.0-84964219214242W1N/A132