In road maintenance, it is necessary to construct an environment that manages 3D data and maintenance information for its effectivity and efficiency. Engineers should be able to use 3D data not only for virtually reviewing the design of a facility, but also for analyzing building operations and performance. Using 3D data will thus improve the efficiency of operations and maintenance. The primary objective of this research is to support road maintenance work using 3D data by combining point cloud data of terrestrial laser scanning (TLS) and unmanned aerial vehicles (UAV) with photogrammetry. TLS and photogrammetry technologies were used to survey pavement, landform, and bridge of road structures. This research evaluated the accuracy of the usage of point cloud data by TLS and photogrammetry for road maintenance. This method can be used to check potholes and surface irregularities on pavement that can be easily and quickly confirmed by management. To evaluate the accuracy of 3D data of the bridge, we compare the 3D data with its design conditions. The 3D data describes the structure with high accuracy. The 3D data could be used to develop a road maintenance management system that accumulates data and refers to the inspection results and repair information. The system can link inspection results and recondition information with the point cloud data for display, storage, and reference, facilitating the management of road cracks and areas for repair. The prototype system was developed using Skyline Terra Explorer Pro. It was visualized constructed 3D data on temporal sequence.