Geoscience Reference
In-Depth Information
Automatic Generation of 3D Networks
in CityGML and Design of an Intelligent
Individual Evacuation Model for Building
Fires Within the Scope of 3D GIS
U. Atila, I. R. Karas, M. K. Turan and A. A. Rahman
Abstract
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 happen-
ing 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 pre-
ferred artificial neural network architecture in classification and prediction prob-
lems. We focus on integration of this model with a 3D-GIS based simulation for
demonstrating an individual evacuation process.
Keywords
3D-GIS • Network analysis • Evacuation • Navigation • Intelligent
routing • Multilayer perceptron
