Development of a Geocoding System for Diverse Road Data

Diverse and massive road traffic data, such as about traffic congestion, disasters, traffic restrictions, travel history and traffic volume, are expressed by different location referencing methods including latitude & longitude, DRM links, milepost, sight frontage names, and addresses. Each of these location referencing methods is suitable for the respective use. In treating some different types of road traffic data under the same environment, however, e.g. in superimposing road traffic data created by different location referencing methods on a map or spatial processing requires conversion of their location referencing methods, which is being an obstructive factor to smooth distribution of road traffic data. In this research, we developed a geocoding algorithm that enables interconversion of location referencing methods including latitude & longitude, digital road map (DRM), VICS, the Road Section Identification Data set (RSIDs), Reference Road Sections, and milepost. And we verified the usefulness by mutually converting actual road traffic data using the system that implements the algorithm.