Modern data-capture technology, especially digital photogrammetry technology, provides abundant data resources for digital city. Transportation network, forming framework of city, is an important component of city and a vital fundamental data of ITS and LBS (Location-based Services). Therefore, developing a data model is very valuable and significant which can describe 3D feature of city road network and support 3D navigation.
Nowadays existing 3D GIS data models pay less attention to the support of transportation application, such as 3D vehicle navigation and traffic simulation, and previous GIS for transportation (GIS-T) data models failed to support 3D visualization. In view of it, we developed a 3D data model for transportation network that (1) supports of linear referencing system (LRS) and dynamic segmentation, (2) makes network topology build on the basis of 3D geometry network, and (3) realizes the transformation between linear coordinate and spatial coordinate. A performance study depicts that the proposed model can not only realize 3D visualization but also have transportation analysis (such 3D Vehicle navigation) more efficiently and conveniently.