Development of a geocoding system for diverse road data

Ryuichi Imai, Hisatoshi Taniguchi, Satoshi Tajima, Hiroyoshi Hashimoto, Koichi Shigetaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7-13
Number of pages7
ISBN (Electronic)9781538626337
DOIs
Publication statusPublished - May 15 2019
EventJoint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018 - Toyama, Japan
Duration: Dec 5 2018Dec 8 2018

Publication series

NameProceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018

Conference

ConferenceJoint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018
CountryJapan
CityToyama
Period12/5/1812/8/18

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All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Logic
  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Science Applications
  • Theoretical Computer Science

Cite this

Imai, R., Taniguchi, H., Tajima, S., Hashimoto, H., & Shigetaka, K. (2019). Development of a geocoding system for diverse road data. In Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018 (pp. 7-13). [8716196] (Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCIS-ISIS.2018.00013