• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.4
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• pp.47-55
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• 2011

In this paper, the management system for a bicycle station using 900 MHz RFID technology has been developed. Based on the several reasons such as environmental pollution, high oil prices, and the government's eco-friendly policies, a bicycle usage is increasing nowadays. Accordingly, a need for bicycle parking spaces has already been emerging and increasing around a bicycle station. But most of the bicycle parking system are operated by manually, and it causes somewhat inefficient. Therefore, this paper suggests an unmanned bicycle station using RFID technology. The proposed system is supported by the mobile applications that are operated in the smart phones, and which gives the real-time access to the information of bicycle station. The proposed system yields owners of bicycle owners the convenience and efficiency of the station management in order to maximize the function of the bicycle stations.

• 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.

• Journal of Internet Computing and Services
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• v.24 no.5
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• pp.107-120
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• 2023

The public bicycle of Seoul, Ttareungyi, was launched at October 2015 to reduce traffic and carbon emissions in downtown Seoul and now, 2023 Oct, the cumulative number of user is upto 4 million and the number of bike is about 43,000 with about 2700 stations. However, super growth of Ttareungyi has caused the several problems, especially demand/supply mismatch, and thus the Seoul citizen has been complained about out of stock. In this point, this study conducted a real time demand forecasting model to prevent stock out bike at stations. To develop the model, the research team gathered the rental·return transaction data of 20,000 bikes in whole 1600 stations for 2019 year and then analyzed bike usage, user behavior, bike stations, and so on. The forecasting model using machine learning is developed to predict the amount of rental/return on each bike station every hour through daily learning with the recent 90 days data with the weather information. The model is validated with MAE and RMSE of bike stations, and tested as a prototype service on the Seoul Bike Management System(Mobile App) for the relocation team of Seoul City.