Automatic generation of 3D networks in cityGML and design of an intelligent individual evacuation model for building fires within the scope of 3D GIS
Küçük Resim Yok
Tarih
2014
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Kluwer Academic Publishers
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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. © Springer International Publishing Switzerland 2014.
Açıklama
ISPRS 8th 3D GeoInfo Conference and WG II/2 Workshop -- 27 November 2013 through 29 November 2013 -- Istanbul -- 107500
Anahtar Kelimeler
3D-GIS, Evacuation, Intelligent routing, Multilayer perceptron, Navigation, Network analysis
Kaynak
Lecture Notes in Geoinformation and Cartography
WoS Q Değeri
Scopus Q Değeri
Q3
