Intelligent generation of indoor topology (i-GIT) for human indoor pathfinding based on IFC models and 3D GIS technology

Three campus buildings and a Taiwan High Speed Rail (THSR) station were chosen to validate the proposed approach. Multiple OD pairs in one of test cases were randomly selected to find the shortest routes using the paths generated by i-GIT. Compared with paths manually drawn using the principles of Medial Axis Transform (MAT) and the route lengths from actual measurement, the average path availability is higher than 96%, while the average error of route lengths based on generated paths is approximately 5%. The results showed that i-GIT was able to accurately and effectively produce a complete indoor network.