Abstract
Road network data is often utilized in areas of traffic analysis and routing assistance services. In recent years, the development of more convenient services and higher levels of precise analysis are on theverge of being realized by advances in ITS and street lane level analysis of travel speed. In anticipation of this, Japan DRM association is proceeding with a re-collection of road network data of street junctions at the street lane level, in metropolitan areas. However since each update of road network data require manual charting and field survey work, the efficiency is desired.
In this study, we have conceived a semi-automatic method for generating three-dimensional road network data of each lane, with using the fundamental geospatial data of road and the point cloud data. In addition to this, we have verified the usefulness of developed method such as extraction algorithm of point cloud data of road surface, algorithm to grant height with live data.
