• Proceedings of the Korean Society of Computer Information Conference
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• 2013.07a
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• pp.345-347
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• 2013

최근 환경문제의 심각성이 고조됨에 따라 Co2 배출량 감소계획에 따른 세계 각국의 정부주도로 민간 및 지방자치단체에서도 그린에너지, 저탄소 녹색성장 프로젝트, 승용차요일제 등 다양한 정책을 시행하고 있다. 따라서 탄소저감의 효율적인 방안으로서 승용차 운행을 줄이고 자전거 활용의 활성화에 대한 관심이 증대되고 있다. 본 논문에서는 자전거활용의 활성화를 위하여 자전거 도난방지와 관리를 위한 저비용의 무선 네트워크를 활용한 임베디드 제어 모듈과 모바일 서비스 기반의 자전거 관리시스템을 설계하고 구현 기법을 제안하였다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.3
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• pp.62-72
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• 2023

Recently, the importance of monitoring and management measures for bicycle road related facilities has been increasing. However, research on the monitoring and evaluation of users' safety and convenience in walking spaces including bicycle path is insufficient. In this study, we would like to construct health monitoring data for cylists-pedestrians mixed road using a mobile mapping system, and propose a plan to calculate the level of service of the mixed roads from the perspective of pedestrians and cyclists using artificial intelligence based object detection techniques. The monitoring and level of service calculation method of cylists-pedestrians mixed roads proposed in this study is expected to be used as basic information for planning and management such as maintenance and reconstruction of walking spaces in preparation for the increase of electric bicycles and personal mobility in the future.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.259-270
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• 2021

Recently, interests in the use of Sharing Bike is increasing in consideration of eco-friendly transportation and safety from viruses. As the technology for collecting and storing data is improved with the development of ICTs, research on mobility using the Sharing Bike Data is also actively progressing. Therefore, this paper analyzes the properties of Sharing Bike Data and cases of researches on it through literature review, and based on the results of the review, data of Eoulling, the Sharing Bike System of Sejong City is analyzed as a way to utilize Sharing Bike Data. Most of the selected literature used structured data, and analyzed it through statistical methods or data mining. Through data analysis, it identified the current status, found out problems of the Sharing Bike System, proposed a solution to solve them, developed plans to activate the use of Sharing Bike. This provides basic data for efficient management and operation plans for Sharing Bike System. Ultimately, it will be possible to explore ways to improve mobility in urban spaces by utilizing Sharing Bike Data.