• Title/Summary/Keyword: Train model

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Development of Metro Train ATO Simulator by improving Train Model Fidelity (모델 충실도 향상을 통한 도시철도 열차자동운전제어 시뮬레이터 개발)

  • Kim, Jungtai
    • Journal of The Korean Society For Urban Railway
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    • v.6 no.4
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    • pp.363-372
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    • 2018
  • Simulator is used to verifying the function and performance of train control system before verifying with actual train. In this case, it is important that the simulation result should be coincide with the result with actual train. In this paper, the process of the development of automatic train operation (ATO) is described. ATO is in charge of automatic train control such as speed regulation and precision stop control. Identical interfaces from the ATO to the actual train was made in the simulator. Therefore ATO communicates to the simulator in the same way to the actual train. Futhermore, the train dynamic properties was measured by experiments and these were applied to the train model. Hence the response of the train in the simulator to the acceleration command is similar to that of the actual train. The simulation result of precision stop control is compared with the result in the actual train test to show the fidelity of the train model derived in the study and the superiority of this simulator.

Development of the Train Dwell Time Model : Metering Strategy to Control Passenger Flows in the Congested Platform (승강장 혼잡관리를 위한 열차의 정차시간 예측모형)

  • KIM, Hyun;Lee, Seon-Ha;LIM, Guk-Hyun
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.3
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    • pp.15-27
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    • 2017
  • In general, increasing train dwell time leads to increasing train service frequency, and it in turn contributes to increasing the congestion level of train and platform. Therefore, the studies on train dwell time have received growing attention in the perspective of scheduling train operation. This study develops a prediction model of train dwell time to enable train operators to mitigate platform congestion by metering passenger inflow at platform gate with respect to platform congestion levels in real-time. To estimate the prediction model, three types of independent variables were applied: number of passengers to get into train, number of passengers to get out of trains, and train weights, which are collectable in real-time. The explanatory power of the estimated model was 0.809, and all of the dependent variables were statistically significant at the 99%. As a result, this model can be available for the basis of on-time train service through platform gate metering, which is a strategy to manage passenger inflow at the platform.

Development of Train Load Model for Railway Bridge Time-History Analysis (철도교량의 동해석을 위한 하중모델의 개발)

  • 김현민;오지택
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2003.10a
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    • pp.97-102
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    • 2003
  • A real train load fluctuates along the track because of complicated movements(Bouncing, Rolling, Pitching and Yawing) and rail conditions. This research has for its object in development of a numerical real train load model including fluctuation characteristics of lateral forces. It is based on Klingel movement theory of a wheelset on straight track it presents a propriety of application by comparison between a 3D-Numerical analysis result using this train load model and a measured data. And this paper presents further study subject to improve a method about the train load modeling.

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Analysis of train collisions using 2D multibody dynamics models (열차사고의 2차원 충돌동역학 모델링 기법 연구)

  • Kim, Geo-Young;Cho, Hyun-Jik;Park, Min-Young;Koo, Jeong-Seo
    • Proceedings of the KSR Conference
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    • 2008.11b
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    • pp.358-363
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    • 2008
  • Through this study, 2D multibody dynamics models for analysis of train collisions have been developed to evaluate the crashworthiness requirements of the TSI regulation. The crashworthiness regulation requires some performance requirements for two heavy collision accident scenarios; a train-to-train collision at the relative speed of 36 kph, and a collision against a standard deformable obstacle of 15 ton at 110 kph. The complete train set will be composed of hybrid model with 2D and 1D model. Using numerical analysis of the hybrid model, some crashworthy design were evaluated in terms of mean crush forces and energy absorptions for main crushable structures and devices. especially, 2D model can evaluate overriding effect in train collisions. It is shown from the simulation results that the suggested hybrid model can easily evaluate the crashworthiness requirements.

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The Train Conflict Resolution Model Using Time-space Network (시공간 네트워크를 이용한 열차 경합해소모형)

  • Kim, Young-Hoon;Rim, Suk-Chul
    • Journal of the Korean Society for Railway
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    • v.18 no.6
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    • pp.619-629
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    • 2015
  • The train conflict resolution problem refers to an adjustment of the train operation schedule in order to minimize the delay propagation when a train conflict is predicted or when a train conflict occurs. Previous train studies of train conflict resolutions are limited in terms of the size of the problems to be solved due to exponential increases in the variables. In this paper, we propose a train conflict resolution model using a time-space network to solve the train conflict situation in the operational phase. The proposed model adjusts the size of the problem by giving only the dwell tolerance in the time-space network only for stops at the station after a train conflict. In addition, the proposed model can solve large problems using a path flow variable. The study presents a train delay propagation analysis and experimental results of train conflict resolution assessments as well using the proposed model.

A study on Development of train performance analysis model for the high-speed electric multiple unit 400km/h experimental (차세대 고속열차 성능해석 모델 개발)

  • Lee, Tae-Hyung;Park, Choon-Soo;Kim, Young-Guk;Choi, Sung-Hoon;Kim, Sang-Soo;Han, In-Soo
    • Proceedings of the KSR Conference
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    • 2008.11b
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    • pp.524-528
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    • 2008
  • The HEMU-400X(High-speed Electric Multiple Unit 400km/h eXperimental) project starts in 2007. It is required to analysis and simulate the train performance throughout the project life cycle for a successful completion of the project. This paper is devoted to the development of a train performance analysis model for the high-speed electric multiple unit 400km/h experimental. The model consist of running resistance model, train model, traction model and braking model. So, this paper represents the results of the train performance analysis.

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THE CRASH BEHAVIOR ANALYSIS OF TRAIN VIRTUAL TESTING MODEL

  • Kim, Seung-Rok;Goo, Jung-Seo;Kwon, Tae-Soo;Kim, Ki-Hwan
    • Proceedings of the KSME Conference
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    • 2007.05a
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    • pp.590-595
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    • 2007
  • It is important to predict the collision behavior of a train consist to improve its crashworthiness. To analyze crash behavior of train, four kinds of methods are mainly used so far. The first is method using multibody dynamics to predict the gross motion of the train set. The second uses 3D FE model to apply the section analysis method in order. The third is used to deduce design specification and evaluate the crashworhiness of a train by using 1D model. The last is to constitute 2D model to check overriding and coupling devices. The train evaluation procedures are so complex that it is difficult to understand or deal with. In this study, VTM for railway train was introduced to simplify the procedures. VTM involves 3D models, 1D models and dynamic components such as suspension and coupling. The method using hybrid concept model makes it possible to do all the things that are mentioned above. To analyze crash behavior tendency of VTM, the model was simulated and the simulation results were discussed.

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Forecasting Passenger Transport Demand Using Seasonal ARIMA Model - Focused on Joongang Line (계절 ARIMA 모형을 이용한 여객수송수요 예측: 중앙선을 중심으로)

  • Kim, Beom-Seung
    • Journal of the Korean Society for Railway
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    • v.17 no.4
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    • pp.307-312
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    • 2014
  • This study suggested the ARIMA model taking into consideration the seasonal characteristic factor as a method for efficiently forecasting passenger transport demand of the Joongang Line. The forecasting model was built including the demand for the central inland region tourist train (O-train, V-train), which was opened to traffic in April-, 2013 and run in order to reflect the recent demand for the tourism industry. By using the monthly time series data (103) from January-, 2005 to July-, 2013, the optimum model was selected. The forecasting results of passenger transport demand of the Joongang Line showed continuous increase. The developed model forecasts the short-term demand of the Joongang Line.

Development of a Ride-comfort Model for Korea Train eXpress (KTX) Passengers (한국형 고속철도 승차감의 감성 모형 개발)

  • Lee, Joo-Hwan;Lee, Cheol;Kim, In-Ki;Yun, Myung-Hwan
    • Journal of the Ergonomics Society of Korea
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    • v.26 no.1
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    • pp.87-92
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    • 2007
  • KTX (Korea Train eXpress) is launched as the $5^{th}$ develop a ride-comfort model for high-speed rail pasengers using structural equation model (SEM). Both qualitative and quantitative factors affecting ride-comfort were investigated, and employed to construct a comprehensive ride-comfort model. The SEM model was built with twenty measurement variables and seven latent variables for the evaluation of ride-comfort of high-speed train passenger. A total of six hundreds thirty two subjects participated in the evaluation using face-to-face survey method. As a result, the proposed SEM model model fitnes (GFI=0.93). According to the results, overall ride-comfort was significantly affected by the seat-, fatigue-, interior-related, and customer satisfaction variables such as fare. Among the engineering design variables of high-speed train, seat-related variables were identified as critical factors of the ride-comfort. It is expected that the result of this study could be useful for the enhancement of ride comfort in next generation KTX.

Running Performance Analysis for the High-speed Electric Multiple Unit 400km/h Experimental (차세대 고속열차 주행성능해석)

  • Lee, Tae-Hyung;Park, Choon-Soo;Han, In-Soo;Choi, Sung-Hoon;Kim, Sang-Soo
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2009.06a
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    • pp.478-479
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    • 2009
  • The HEMU-400X(High-speed Electric Multiple Unit 400km/h eXperimental) project starts in 2007. It is required to analysis and simulate the train performance throughout the project life cycle for a successful completion of the project. This paper is devoted to the development of a train performance analysis model for the high-speed electric multiple unit 400km/h experimental. The model consist of running resistance model, train model, traction model and braking model. So, this paper represents the results of the train performance analysis.

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