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논문 기본 정보

자료유형
학술저널
저자정보
Sung, Hongki (Korea Institute of Civil Engineering and Building Technology) Chong, Kyusoo (Korea Institute of Civil Engineering and Building Technology)
저널정보
한국측량학회 한국측량학회지 한국측량학회지 제33권 제6호
발행연도
2015.12
수록면
589 - 594 (6page)

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초록· 키워드

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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.

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Abstract
1. Introduction
2. Road Management Systems in Foreign Countries
3. Domestic Road Management Systems and Suggestions for Their application
4. Prediction of Traffic Volume Using Road Information from Big Data Platform
5. Conclusion
References

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UCI(KEPA) : I410-ECN-0101-2016-533-002232412