• Proceedings of the Korea Information Processing Society Conference
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• 2008.05a
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• pp.443-446
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• 2008

전국의 주요 도로에 센서를 설치하여 교통정보를 수집하고 가공하여, 사용자인 일반 국민, TSP, 공공기관들에게 양질의 교통정보를 제공하기 위한 교통정보 수집/제공시스템의 데이터 연계/통합 모델을 제안하였다. 제안된 모델은 기존에 구축되어 있는 교통정보센터를 연계/통합하기 위하여 향상된 EAI 기술과 교통정보 교환기술 표준을 적용하여 서버간의 효율적인 통신을 가능하게 해준다.

• 도로교통
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• s.76
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• pp.67-73
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• 1999

• 도로교통
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• s.94
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• pp.69-85
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• 2003

• 한국도로학회지:도로
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• v.1 no.1
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• pp.36-44
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• 1999

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.3
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• pp.207-218
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• 2006

The extraction of horizontal alignment and cross-section of roads is very important task in road safety diagnosis. Existing road safety diagnosis methods by investigators need much time and expense but don't provide various data. Therefor, we need road shape classification automatically and extraction method of horizontal alignment and cross-section of roads through digital photogrammetry system using GPS-VAN with laser scanner. In this paper, we propose a method of mobile laser scanning data acquisition, processing and developing extraction methods of horizontal alignment and cross-section of roads using mobile laser scanning data by GPS-VAN.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.1D
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• pp.127-132
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• 2011

Load managing method on road became necessary since overloaded vehicles occur damage on road facilities and existing systems for preventing this damage still show many problems. Accordingly, efficient managing system for preventing overloaded vehicles could be organized by using the road itself as a scale by applying genetic algorithm to analyze the load and the drive information of vehicles. First of all, accurate analysis of load using the behavior of road itself is needed for solving illegal axle manipulation problems of overloaded vehicles and for installing intelligent embedded load analyzing system. Accordingly in this study, to use the behavior of road, the transformation was measured by installing underground box type indoor model and indoor experiment was held using genetic algorithm and 10% error were checked.

• 한국도로학회지:도로
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• v.15 no.3
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• pp.46-48
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• 2013

• 한국도로학회:학술대회논문집
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• 2004.10a
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• pp.315-322
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• 2004

• 한국도로학회지:도로
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• v.5 no.2 s.16
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• pp.18-22
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• 2003

• 한국도로학회지:도로
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• v.14 no.3
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• pp.77-79
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• 2012