• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.864-867
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• 2010

본 논문에서는 안드로이드 스마트폰을 위한 국내 수도권이 아닌 부산 지하철 정보 시스템을 구현하였다. 본 시스템에서는 각 지하철의 시간표를 볼 수 있으며, 노선도를 제공하여 출발역과 도착역에 대한 최단경로, 최소환승, 비용을 알 수 있다. 특히 GPS와 연동하여 현재 위치에서 가장 가까운 지하철역을 검색할 수 있다. 그리고 임베디드 보드에 직접 탑재해서 테스트 함으로써 모바일기기에 대한 서비스 가능성을 확인 할 수 있다. 이 시스템은 지리에 익숙하지 않은 장소에서 유용하며 차후 부산지역이 아닌 다른 지역 또한 서비스 할 수 있으므로 그 확장성을 기대 할 수 있다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.7 no.5
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• pp.139-146
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• 2008

Wireless sensor network-related application system can perform functions such as environmental pollution monitoring, building control, home automation in future. In this paper, we present wireless sensor network based system for subway station in order to reduce the damage of the people and the subway station due to fire. Sensor nodes in this system can sense temperature, illumination, smoke, and human body in real time and detect the accident in the subway station. These real-time sensing and wireless networking minimize casualties and damage to property.

• Information Systems Review
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• v.7 no.1
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• pp.65-80
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• 2005

The Seoul Metropolitan Subway Corporation (SMS) and the Seoul Metropolitan Rapid Transit Corporation (SMRT), which manage the city's eight subway lines, are intending to overcome their operational inefficiencies. The two investigators of the paper realize with emphasis that it is essential for the two subway authorities to analyze subway transit data prior to put policies and plans into practice. In this paper, the investigators propose a new, and an intuitive, way of analyzing subway passenger transit patterns. To achieve this goal, they have implemented a data mart by blending the "Pass Card" log data into the multidimensional model. The subway passenger's transit patterns and the practical implications of this system are also investigated.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.7B
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• pp.789-794
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• 2011

We analyze the capacity of CDMA base stations in the subway environment. We investigate the characteristics of multipath fading, cell structures, and propagation environment in the subway, analyze signal to noise ratio, sectorization gain, path-loss exponent, frequency reuse factor, and obtain the link capacity of a base station in the subway. We measure the peakedness factor and reveal that base stations in the subway have peaked traffic. We use Neal-Wilkinson model to obtain the Erlang capacity instead of Erlang-B model based on Poisson traffic.

• Proceedings of the Korean Society for Rock Mechanics Conference
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• 2002.10a
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• pp.104-112
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• 2002

최근 도심지 지하철내 누유로 인한 악취·화재의 위험이 대중매체를 통해 보도되어 사회적 문제로 대두되고 있으며, 개정된 토양환경보전법 및 지하수법에 따라 주유소오염에 대한 정화기준이 강화되고 있어 도심지 주유소와 인접한 천층부 지하철터널의 누유대책 마련이 절실히 요구되고 있다. 도심지 지하철터널의 누유대책을 서울시 지하철 00공구 설계사례를 통해 먼저 지하수 유동분석에 의한 지하수위 검토와 오염자 추적에 의한 누유확산 범위를 파악하고, 두 번째로 누유감지센서에 의한 누유조기경보, 유량계 및 수질센서에 의한 수질data화의 수질 및 유량자동모니터링 시스템을 구축하며, 마지막으로 Oil-Stop 맨홀에 의한 누유분리 차단대책을 제안하고자 한다.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.289-295
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• 2016

Subway is a future-oriented means of transportation that can be safely and quickly mass transport many passengers than buses and taxis. Congestion growth due to the increase of the metro users is one of the factors that hinder citizens' rights to comfortably use the subway. Accordingly, congestion prediction in the subway is one of the ways to maximize the use of passenger convenience and comfort. In this paper, we monitor the level of congestion in real time via the existing congestion on the metro using multiple regression analysis and big data processing, as well as their departure station and arrival station information More information about the transfer stations offer a personalized congestion prediction system. The accuracy of the predicted congestion shows about 81% accuracy, which is compared to the real congestion. In this paper, the proposed prediction and recommendation application will be a help to prediction of subway congestion and user convenience.

• Proceedings of the KIEE Conference
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• 2005.10c
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• pp.261-263
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• 2005

본 연구는 지하철 역사 내에서 일어나는 사고를 예방하기 위한 역사 내 안전사고 유형 분석을 실시하였다. 지하철 역사 내에 일어나는 사고에 대한 조사를 통해 역사 내 안전사고 유형을 파악하여 안전사고 예방시스템 구현에 활용하고자 한다. 역사 내 사고 유형 분석을 통해 이용승객의 안전성 확보와 승강장 선로에 물건이나 사람이 떨어진 경우 혹은 화재 등의 비상상황발생시 안전시스템을 통해 컴퓨터가 신속히 검지하여 차량과 종합사령실에 알려 차량의 진입을 막아 사전에 피해를 줄이는데 활용할 것이다. 따라서 본 연구를 통해 위급상황에 대한 안전시스템 구성에 도움을 줌으로써 사회적으로 귀중한 생명을 보호하며, 경제적으로는 안전사고 발생에 따른 처리 비용과 안전사고에 따른 지하철 운행지연. 운행 중지 등으로 인한 경제적 비용을 절감할 수 있다.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.579-584
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• 2024

Currently, large-scale, deep construction is being carried out adjacent to subway tracks in korea. when excavating adjacent to each other, it is very important to ensure the safety of earth retaining structures and underground structures. therefore, we are managing the safety of the subway by introducing an automated measurement system. deformation of the subway track during adjacent excavation may affect train running stability. this is a factor that can be linked to train derailments. however, current subway track safety evaluation using automated measurement systems relies only on the maximum value of measured data. therefore, a method to improve the usability of automated measurement system results is needed. in this study, we utilized a technique that can quantitatively evaluate the measurement results of a large amount of subway track deformation. a safety evaluation was conducted on subway track deformation due to adjacent excavation using a vast amount of data using probabilistic statistical analysis techniques.

• The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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• v.28 no.6
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• pp.443-451
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• 1999

지하철은 일반 도로터널과는 달리 환기시스템 설계를 할 때 가장 중요한 부분은 온도에 관한 문제이며 이러한 온도환경문제의 가장 중요한 변수는 지하내부에서 발생하는 온도와 외부의 온도의 융합의 매개체인 피스톤효과와 송풍기이다.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.3
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• pp.343-357
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• 2012

The Seoul metropolitan subway system can be represented by a graph which consists of nodes and edges. In this paper, we study classification of subway stations and trip behaviour of subway passengers through partitioning the graph of the subway system into roughly equal groups. A weight of each edge of the graph is set to the number of passengers who pass the edge, where the number of passengers is extracted from the transportation card transaction database. Since the graph partitioning problem is NP-complete, we propose a heuristic algorithm to partition the subway graph. The heuristic algorithm uses one of two alternative objective functions, one of which is to minimize the sum of weights of edges connecting nodes in different groups and the other is to maximize the ratio of passengers who get on the subway train at one subway station and get off at another subway station in the same group to the total subway passengers. In the experimental results, we illustrate the subway stations and edges in each group by color on a map and analyze the trip behaviour of subway passengers by the group origin-destination matrix.