• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.113-114
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• 2015

본 논문에서는 Beacon을 이용한 교통 요금 자동결제 시스템을 제안한다. 제안된 시스템은 특별한 행위 없이 사용자의 대중교통 이용 여부를 정확히 판단하여 자동으로 결제를 처리하기 때문에 편리하게 서비스를 이용할 수 있다. 특히, 승하차 시스템을 설계하기 위하여 필요한 알고리즘과 데이터 처리 과정을 제안하고 그 파급효과를 분석한다.

• The Journal of Society for e-Business Studies
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• v.18 no.3
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• pp.211-222
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• 2013

Discovering zones which a1re sets of geographically adjacent regions are essential in sophisticated urban developments and people's movement improvements. While there are some studies that separately focus on movements between particular regions and zone discovery, they show limitations to understand people's movements from a wider viewpoint. Therefore, in this research, we propose a clustering based analysis method that aims at discovering movement patterns, which involves zones and their relations, based on a big data of smart card transaction systems. Moreover, the effectiveness of discovered movement patterns is quantitatively evaluated by using the proposed metrics. By using a real-world dataset obtained in Seoul metropolitan subway networks, we investigate and visualize hidden movement patterns in Seoul.