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손무성(Moo-Sung Sohn),김광태(Kwang-Tae Kim),김세원(Se-Won Kim),오석문(Suk-Mun Oh) 한국철도학회 2011 한국철도학회 학술발표대회논문집 Vol.2011 No.10
This paper presents an optimization model for revising train timetable based on an existing timetable to improve transfer time at each station. The transfer time consists of walking and waiting time. The model is formulated as a mixed integer programming. The objective function is to minimize the transfer time from one train to another train at each station. To reflect real situations range of revising departure time is considered as major condition in the model. To validate the effectiveness of the model rudimentary computational results are included and the results are analyzed in terms of transfer time.
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도시철도 유고발생에 따른 역별 중요도 지표 및 대응전략에 관한 연구
박종훈(Jong-Hoon Park),손무성(Moo-Sung Sohn),김광태(Kwang-Tae Kim),민재홍(Jaehong Min) 한국철도학회 2012 한국철도학회 학술발표대회논문집 Vol.2012 No.5
천재지변, 차량의 고장, 전력공급 중단 등으로 인한 유고 발생 시 도시철도 승객은 일정구간 또는 전구간을 이용할 수 없다. 예기치 못한 유고 발생으로 승객은 대체교통수단으로 환승하거나 유고처리가 완료되는 시점까지 기다리게 된다. 유고 유형에 따라 다르지만 유고처리가 완료되는 시점까지는 상당한 시간을 필요로 하며 첨두시간의 유고 발생은 승객에게 불편함을 초래할 뿐만 아니라 막대한 손해를 끼칠 수도 있다. 본 논문에서는 첨두시간에 유고가 발생한 효과를 알아보기 위해 특정역에서 유고가 발생하였을 경우 그 역에서의 승객수요와 그 구간을 통과하는 승객수요를 분석하였다. 이를토대로 주요역을 분석해 보았다. Owing to abrupt incidents such as natural disasters, breakdown of vehicles, power cuts, and human errors, the passengers are not allowed to travel in all and part of the subway system until the recovery actions are completed. To cope with the unexpected situation, they try to transfer other alternative modes or wait for returning its normal state. Most of the incidents in railway network requires a small or large amount of times depending on types of incidents in order to recovery public transport services. Especially, a small amount of time during peak hours can have a great influence on passengers. In other words, time value of rush hour are higher than that of non-rush hour. This paper focuses on a study on the effect of incident on the passengers in a assumed specific incident section during rush hours. To analyze effect of incidents, the number of passengers in the stations in a assumed specific incident section and the number of passengers through the section is analyzed. Based on the analysis, we derive important stations affected by incidents in the subway system.
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김세원(Se Won Kim),손무성(Moo-Sung Sohn),민재홍(Jae-Hong Min),오석문(Seog-Mun Oh) 한국철도학회 2011 한국철도학회 학술발표대회논문집 Vol.2011 No.5
1996년 서울 고덕동~상일동 구간 시내버스에 교통카드 시범실시 이후 다년간 정부의 지속적인 지원으로 현재 수도권 대중교통 승객의 교통카드 이용률이 90%를 넘어서고 있다. 현 상황에서 국내 및 국외의 교통정보시스템은 도로운영 및 제어, 실시간 정보 제공에 집중되어 있으며, 기존의 교통정보시스템과 차별화되는 교통카드자료를 활용한 교통정보시스템에 관한 연구가 진행되어야 한다. 본 연구에서는 교통카드 사용이 활성화되어 있는 국내 및 국외사례를 중심으로 각 국에서 활용되고 있는 교통정보시스템을 비교/분석하여, 교통카드자료 기반의 대중교통 정책 및 제도 개선을 위한 의사결정지원 기능, 승객 통행정보에 대한 과학적 분석, 새로운 노선 구축에 대한 수요예측 및 변화 등의 정보를 제공할 수 있는 진화된 미래 교통정보시스템의 모습을 소개하고 발전방향을 제시하고자 한다. After conducting demonstration of transportation card for bus from Godeok-dong to Sangil-dong in 1996, due to continuously support for public transportation, the transportation card utilization of metropolitan public transportation passengers is currently going beyond 90%. In the current situation, transportation information system is mainly focused on road operation and control, offer of real time information and research of transportation information system using transportation card data which is differentiated by previous transportation information system is needed to study. This paper compare and analyze transportation information system, which is being used to each country, based on foreign examples of activating use of transportation card then introduce figure of advanced transportation information system which provide decision making feature for improving policy and institution of public transportation based on transportation card data, scientific analysis of passenger information, information of demand forecasting, variation and so on for constructing new route.
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수도권 복합 대중교통망의 복수 대안 경로 탐색 알고리즘 고찰
박종훈(Jong-Hoon Park),손무성(Moo-Sung Sohn),오석문(Suk-Mun Oh),민재홍(Jaehong Min) 한국철도학회 2011 한국철도학회 학술발표대회논문집 Vol.2011 No.10
This paper reviews search methods of multiple reasonable paths to implement multimodal public transportation network of Seoul. Such a large scale multimodal public transportation network as Seoul the computation time of path finding algorithm is a key and the result of path should reflect route choice behavior of public transportation passengers. Search method of alternative path is divided by removing path method and deviation path method. It analyzes previous researches based on the complexity of algorithm for large-scale network. Applying path finding algorithm in public transportation network transfer and loop constraints must be included to be able to reflect real behavior. It constructs the generalized cost function based on the smart card data to reflect travel behavior of public transportation. To validate the availability of algorithm experiments conducted with Seoul metropolitan public multimodal transportation network consisted with 22,109 nodes and 215,859 links by using the deviation path method suitable for large-scale network.
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오석문(Seog-Moon Oh),손무성(Moo-Sung Sohn),최인찬(In-Chan Choi) 한국철도학회 2007 한국철도학회논문집 Vol.10 No.6
본 논문은 장래 도입되는 KTX2 고속차량을 이용한 중련편성 운영계획 최적화를 위한 방법론 제시를 목적으로 한다. 중련편성 운영계획 최적화를 위한 수리적 모형을 제시하고, 제안된 수리적 모형의 적용방안을 제시한다. 특히 확률적 수요를 고려한 모형을 수립하여, 계획수립 단계에서 수요의 확률적 요소를 보다 현실적으로 반영하고, 모형내에서 좌석 서비스 수준을 직접 조정할 수 있다. This paper presents a mathematical model for a double-fleet operation in Korean high speed rail (HSR). KORAIL has a plan to launch new HSR units in 2010, which are composed of 10 railcars. The double-fleet operation assigns a single-unit or two-unit fleet to a segment, accommodating demand fluctuation. The proposed model assumes stochastic demand and uses chance-constrained constraints to assure a preset service level. It can be used in the tactical planning stage of the rail management as it includes several real-world conditions, such as the capacities of the infra-structures and operational procedures. In the solution approach, the expected revenue in the objective function is linearized by using expected marginal revenue, and the chance-constrained constraints are linearized by assuming that demands are normally distributed. Subsequently, the model can be solved by a mixed-integer linear programming solver for small size problems. The test results of the model applied to Friday morning train schedules for one month sample data from KTX operation in 2004 shows that the proposed model could be utilized to determine the effectiveness of double-fleet operation, which could significantly increase the expected profit and seat utilization rates when properly maneuvered.
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