• Title/Summary/Keyword: Bike Information Service

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LBS/GPS based Bicycle Safety Application with Arduino (아두이노를 이용한 위치정보 기반 안전한 자전거 애플리케이션)

  • Kim, Dong-Gun;Lee, Ho-Se;Kim, So-Young;Kim, Tae-Woo;Lee, Hyung-Woo
    • Journal of Internet of Things and Convergence
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    • v.2 no.1
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    • pp.7-15
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    • 2016
  • Bicycle users were surpassed a million recently as bicycle riding will be a key element of daily life. As users increase, we can expect that the user is more exposed to the risk of an unexpected accident. Therefore, we need to establish several preventive measures for a safe riding environment. In this paper, we developed mobile application by using the acquired GPS-based location information that provide safety services for the bike riding as a LBS service. In detail, we have been able to provide a bicycle safety navigation service by using the bluetooth transmission and reception method between Android and Arduino-based devices. As a future work, the safety could be improved if we expand various forms of Arduino sensors. As a result, a service developed in this study will be able to converge ahead to connect into several personalized mobile IoT services.

An Efficient Public Bicycle Reallocation using the Real-Time Bicycle on-Demand HDPRA Scheme (효율적인 공공 자전거 재배치를 위한 실시간 자전거 수요량 기반의 HDPRA 기법 제안)

  • Eun-Ok Yun;Kang-Min Kim;Hye-Sung Park;Sung-Wook Chung
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.17 no.2
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    • pp.83-92
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    • 2024
  • Currently, various countries are enhancing accessibility by providing bicycle rental services for convenient usage within daily life. This paper introduces the Nubija public bicycle service in Changwon, South Korea, aiming to address the imbalance between demand and supply of Nubija bicycles. We propose a Highest Priority Reallocation Scheme to prevent this disparity. Comparing this scheme with others that randomly visit terminals for redistribution and those that prioritize terminals closest to current locations, we illustrate its superior efficiency. Our proposed Highest Priority Reallocation Scheme prioritizes terminals with the highest demand and shortest distances nearby. Through experiments, our proposed scheme demonstrates superior performance, with the lowest average of 817.44km distance and an average of 6437.45 times, i.e., 88.14% successful rental occurrences. This highlights its superiority over the other two algorithms.

Social Network Analysis of Shared Bicycle Usage Pattern Based on Urban Characteristics: A Case Study of Seoul Data (도시특성에 기반한 공유 자전거 이용 패턴의 소셜 네트워크 분석 연구: 서울시 데이터 사례 분석)

  • Byung Hyun Lee;Il Young Choi;Jae Kyeong Kim
    • Information Systems Review
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    • v.22 no.1
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    • pp.147-165
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    • 2020
  • The sharing economy service is now spreading in various fields such as accommodation, cars and bicycles. In particular, bicycle-sharing service have become very popular around the world, and since September 2015, Seoul has been providing a bicycle-sharing service called 'Ttareungi'. However, the number of bicycles is unbalanced among rental stations continuously according to the user's bicycle use. In order to solve these problems, we employed social network analysis using Ttareungi data in Seoul, Korea. We analyzed degree centrality, closeness centrality, betweenness centrality and k-core. As a result, the degree centrality was found to be closely linked with bus or subway transfer center. Closeness centrality was found to be in an unbalanced departure and arrival frequency or poor public transport proximity. Betweenness centrality means where the frequency of departure and arrival occurs frequently. Finally, the k-core analysis showed that Mapo-gu was the most important group by time zone. Therefore, the results of this study may contribute to the planning of relocation and additional installation of bike rental station in Seoul.

Implementation Plan of MaaS according to Various Public Transport Links (MaaS의 다양한 공공교통수단 연계에 따른 구현 방안)

  • Seo, Ji-Yeong;Lee, Seon-Ha;Cheon, Choon-Keun;Lee, Eun-Ho
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.17 no.2
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    • pp.73-86
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    • 2018
  • The increase in the number of private automobiles has incurred various traffic problems. Globally, studies on MaaS(Mobility as a Service) has already been initiated to mobilize the use of public transportation in reducing private passenger cars in roads. This study aims to analyze the passenger's optimal route considering the transfer between different transportation modes through simulation, and analyze the effect of available route through the connected transportation modes. Sejong Special Self-Governing City was chosen as the study area due to its extensive transportation network. As a result of the analysis, the predominant obtainable route is derived either from using public transportation (i.e. bus and subway) only or by bicycle. However, it is also possible to use the car sharing and public bicycle to reach their final destination efficiently when paths that can be traversed were more scrutinized. When various transportation information and location-based services are introduced in smart phone applications, they can provide very useful information to passengers, and also promote social problems such as traffic congestion and environmental issues in the future.