[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.7848/ksgpc.2015.33.6.589

A Study on Prediction of Traffic Volume Using Road Management Big Data

Sung, Hongki (Korea Institute of Civil Engineering and Building Technology)
Chong, Kyusoo (Korea Institute of Civil Engineering and Building Technology)

Publication Information

Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.33, no.6, 2015 , pp. 589-594 More about this Journal

Abstract

In reflection of road expansion and increasing use rates, interest has blossomed in predicting driving environment. In addition, a gigantic scale of big data is applied to almost every area around the world. Recently, technology development is being promoted in the area of road traffic particularly for traffic information service and analysis system in utilization of big data. This study examines actual cases of road management systems and road information analysis technologies, home and abroad. Based on the result, the limitations of existing technologies and road management systems are analyzed. In this study, a development direction and expected effort of the prediction of road information are presented. This study also examines regression analysis about relationship between guide name and traffic volume. According to the development of driving environment prediction platform, it will be possible to serve more reliable road information and also it will make safe and smart road infrastructures.

Keywords

Road Information; Driving Environment; Prediction; Road Management System;

Citations & Related Records

Times Cited By KSCI : 4 (Citation Analysis)

Reference
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