A road scene model contributes a critical infrastructure in many computer applications. However, few methods exist for the automatic generation of 3D realistic road networks, such as driving simulations require a real and immersed 3D road network models. An effective method including three major components (namely: 2D road centerline extraction, 3D road network dataset integration and 3D real roadway view model reconstruction) was put forward here for a mixedreality road reconstruction, where the road view model system represents a hybrid view integrating a real geography scene with the geometric model. The image semantic segmentation was exploited by means of SegNet to extract the 2D road network from Google earth, and overcome the specific defect of the custom image processing method; moreover, Unity 3D was selected to show how roadway geometrical model for a simulator system can be visualized by means of remote sensing images. Results show that this method can realize a high-fidelity road view with little human costs.