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The reconstruction of three-dimensional (3D) model of urban road infrastructure is of great significance in the field of building information modeling (BIM) application and digitization of urban road. In order to meet the needs of digital reconstruction of urban transportation infrastructure, this paper makes a comprehensive application of vehicle-mounted laser scanning and UAV tilt photography technology, and proposes the methods for information collection, multi-source point cloud registration, point cloud segmentation and 3D reconstruction. Firstly, vehicle-mounted laser scanning technology and UAV tilt photography technology were used to collect traffic infrastructure information, and the structure from motion (SfM) algorithm was used to generate the point cloud of infrastructure. Secondly the iterative closest point (ICP) algorithm was used for multi-source point cloud registration, and the method based on PointNet network was used for point cloud segmentation. Finally, the 3D model of urban road infrastructure was reconstructed. The proposed methods can efficiently reconstruct the 3D model of urban road infrastructure, which provide the foundation for the digitalization of urban transportation infrastructure, and facilitate the application research in the subsequent transportation professional field.