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박범환,오석문,홍순흠,문대섭 대한교통학회 2005 대한교통학회지 Vol.23 No.6
The line planning problem is to determine the origin and destination stations of the lines with their frequencies so as to meet the OD demands. Since the advent of high speed trains, Korea railway is confronted with the urgent difficulty to reconstruct the line configuration with the frequencies of each line and each fleet type so the demands could be newly created as well as satisfied. Furthermore, the existing trains except the high speed trains suffer from a longer traveling time than before. Now, to reduce the passenger traveling time, the trains with the various halting patterns are run in the same line. Therefore, it is necessary to develop a new line planning model to consider the various halting patterns. Most of studies find the frequencies of each lines which meet the link traffic loads or minimum link frequencies. But these are based on the assumption of all stop patterns. Furthermore, it is not easy to include the actual constraints as like the minimum number of stops at a station, the maximum number of stops of a train, etc. We develop the line planning model considering not only the various halting patterns but also the actual constraints which is based on the multicommodity network flow model with the additional constraints.
역내 열차 경합 검지 및 해소를 위한 수리 모형 및 해법
박범환,김경민,홍순흠,김영훈 한국철도학회 2007 한국철도학회논문집 Vol.10 No.2
In large station with high density traffic, trains can be hardly controlled by CTC but by station dispatcher because CTC has difficulties in monitoring all states of affairs happening within each station such as departures, arrivals of many trains from different lines and shunting of trains to move between yards and platforms, etc. Therefore the station's dispatcher has to make quick decision about how to reschedule the times and routes for all the trains scheduled within a specific time window. And such decision becomes harder when an unexpected delay occurs because a delay occurring in a train propagates other trains as time goes on. Generally, it is called the conflict detection and resolution to adjust beforehand the distorted schedule due to a delay to original schedule. Our research is different from the state of the arts in that ours determines simultaneously the routes and the times of arrival and departure of trains, although others do only the arrival and departure time of the trains without considering the alternative routes and shunting of the station. This study suggests a mathematical approach for how to detect in advance and resolve efficiently the conflicts occurring within a station and it will be shown how to reduce delay using our approach by means of analysing the schedule of ChyungRyangRi station.
열차운행시뮬레이션을 이용한 혼잡역에서의 반복 회송 스케줄 작성
박범환,이현균 한국도시철도학회 2020 한국도시철도학회논문집 Vol.8 No.4
With the rapidization and direct connection with new line in metropolitan railway lines, train operation plans are gradually becoming more complicated and then there is a growing need to establish a systematic approach based on optimization and simulation. to develop train operation plan. The purpose of this study is to present a method of utilizing train operation simulation to create a train repetition schedule in congested stations to smoothly operate the train schedule given a train schedule. In this study, using the software OpenTrack, we show how to create train repetition schedule at Oido station, where many trains originate and terminate at Suin-Bundang line. 최근 도시 및 광역 철도 노선에서의 급행화 및 신규 노선과의 직결 운행에 따라, 열차운행계획이 점차 복잡해지고 있어, 기존의 수작업에 기초한 열차 운행 계획 작성 및 분석을 최적화 및 컴퓨터 시뮬레이션 프로그램을 활용한 방법론으로 대체할 필요성이 커지고 있다. 본 연구는 열차 스케줄이 주어졌을 때, 그 열차 스케줄을 원활하게 운영하기 위한 혼잡역에서의 열차 반복 스케줄을 작성하기 위한 열차운행 시물레이션의 활용방법을 제시하는 데 목적이 있다. 본 연구에서 활용하는 열차운행시뮬레이션 프로그램은 OpenTrack이며 분석 대상 노선은 최근 개통한 수인분당선 구간 중 오이도~한대앞 구간이며, 오이도역에서의 시종착열차들의 반복 스케줄 및 출도착선 확정을 위한 시뮬레이션 활용방안을 제시하고자 한다.
박범환 한국철도대학 2007 한국철도대학논문집 Vol.22 No.-
현재 한국철도공사는 화차 운용에 있어 중·장기적인 계획에 따른 화차 운용이 아니라, 일일 단위의 수요에 임의적으로 대응하기 위해 관할 사령의 경험적인 방법에 의해 화차 조회 및 회송을 시행하여 화차의 사용 효율이 저하되고 있다. 특히 수요의 비대칭성, 화주들의 화차 보유 시간의 증가 등으로 인해 회귀일이 상당히 높은 편이다. 또한, 화차 수급 계획 또한 기존 실적치에 기반한 회귀율을 이용하고 있어, 기존의 운영 방식이 비효율적인 경우, 필요한 화차의 수가 과도하게 예측되는 개연성이 존재하여, 회귀율이 아닌 보다 과학적인 방법론을 기초로 화차 소요량 계산 방법 및 운용계획을 필요로 하고 있다. 본 연구는 화차의 소요량 예측 및 운용 계획을 위한 기본적인 최적화 모형을 제시하고 그 모형을 기초로 2007년 컨테이너 수요를 입력자료로 사용하여 컨테이너 화차의 소요량 및 운용 계획을 시뮬레이션해본다. Currently, KORAIL does not use any decision support system which can help for efficient routing of freight cars. And there are so many empty ridings of freight cars due to asymmetric demand and deficiency of long-term routing plans of freight cars. Now, KORAIL is trying to introduce a new decision support system in order to make the management of freight cars more efficient. Our study is about evaluating in advance the performance of such systems. We present an optimization-based method for estimating the number of necessary freight cars, which depends on how to route the freight cars. Applied to the container freight cars, we can see the 9.3% improvement over the current number of necessary container freight cars.