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Automatic Generation of 3D Networks in CityGML and Design of an Intelligent Individual Evacuation Model for Building Fires Within the Scope of 3D GIS

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Innovations in 3D Geo-Information Sciences

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))


Designing 3D navigation systems requires addressing solution methods for complex topologies, 3D modelling, visualization, topological network analysis and so on. 3D navigation within 3D-GIS environment is increasingly growing and spreading to various fields. One of those fields is evacuation through the shortest path with safety in case of disasters such as fire, massive terrorist attacks happening in complex and tall buildings of today’s world. Especially fire with no doubt is one of the most dangerous disaster threatening these buildings including thousands of occupants inside. This chapter presents entire solution methods for designing an intelligent individual evacuation model starting from data generation process. The model is based on Multilayer Perceptron (MLP) which is one of the most preferred artificial neural network architecture in classification and prediction problems. We focus on integration of this model with a 3D-GIS based simulation for demonstrating an individual evacuation process.

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This study was supported by TUBITAK—The Scientific and Technological Research Council of Turkey (Project No: 112Y050) research grant. We are indebted for its financial support.

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Correspondence to I. R. Karas .

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Atila, U., Karas, I.R., Turan, M.K., Rahman, A.A. (2014). Automatic Generation of 3D Networks in CityGML and Design of an Intelligent Individual Evacuation Model for Building Fires Within the Scope of 3D GIS. In: Isikdag, U. (eds) Innovations in 3D Geo-Information Sciences. Lecture Notes in Geoinformation and Cartography. Springer, Cham.

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