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How to automatically generate a realistic large-scale 3D road network is akey point for immersive and credible traffic simulations. Existing methodscannot automatically generate various kinds of intersections in 3D space basedon GIS data. In this paper, we propose a method to generate complex andlarge-scale 3D road networks automatically with the open source GIS data,including satellite imagery, elevation data and two-dimensional(2D) road centeraxis data, as input. We first introduce a semantic structure of road network toobtain high-detailed and well-formed networks in a 3D scene. We then generate2D shapes and topological data of the road network according to the semanticstructure and 2D road center axis data. At last, we segment the elevation dataand generate the surface of the 3D road network according to the 2D semanticdata and satellite imagery data. Results show that our method does well in thegeneration of various types of intersections and the high-detailed features ofroads. The traffic semantic structure, which must be provided in trafficsimulation, can also be generated automatically according to our method.

Automatic Generation of Large-scale 3D Road Networks based on GIS Data