• Title/Summary/Keyword: Highspeed Train

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Handover Performance Improvement for LTE-R Network (LTE-R 네트워크에서 핸드오버 성능 개선)

  • Kim, Young-Dong
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.6
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    • pp.1017-1022
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    • 2020
  • LTE-R(Long Term Evolution-Railway) for high speed railway system operation as an essential technology is based on LTE. Recently, moving speed of high speed train is on going to 600[km/h] level over commercial speed 400[㎞/h]. LTE-R as communication technology for a high speed railway system can be able to provide seamless communication to support moving speed for high speed railway system. In this study, a handover method based on prediction is suggested and performance of the suggested method is evaluated. Computer simulation based on NS(Network Simulator)-3 is used for this study.

Noise Propagation Characteristics for Highspeed Train in Outdoors (고속철도소음의 전파특성)

  • 김정태
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 1996.04a
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    • pp.73-79
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    • 1996
  • 우리나라와 같이 철도의 운행위치와 소음 피해를 받는 수음자 간의 거리가 인접되어 있는 경우, 소음의 전파특성은 과도형상을 나타내는 구간에 속하게 되어 전파중에 나타나는 지표면의 다양한 물리적, 현상과 경계면 등의 이피던스 값등이 많은 영향을 끼치게 된다. 본 연구에서는 철도소음의 소음원 자체에 대한 모델링 기법과, 자유공간을 전파할 때 나타나는 거리감쇠 효과 등을 고려한 음향학적인 연속선음원 및 유한 불연속 선음원 등에 대한 검토가 이루어졌고, 특히, 소음원의 크기에 비교하여 수음자의 위치에 따라 저감되는 음향전파특성을 설명하였다. 또한, 유한한 길이를 가지고 있는 철도차량의 소음원 모델을 이용하여 향후 국내에서 운행되리라 예상되는 고속철도의 음향파워를 산출하였다. 산출된 음향파워로부터 철도변의 소음분포를 도출하였으며 고속철도의 경우 운행시 소음피해가 어느 정도인지를 예상하였다.

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Investigation of Traffic Safety Requirements for Railway Bridge (철도교량 동적안정성 확보를 위한 거동한계기준에 대한 분석)

  • Kim, Sung-Il;Jeong, Han-Uk;Lee, Doo-Jae;Mun, Je-U;Kim, Jong-Tae
    • Proceedings of the KSR Conference
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    • 2007.05a
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    • pp.1416-1423
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    • 2007
  • Dynamic instability of the railway bridge can cause track irregularities and be directly connected with unstable passenger comfort and derailment of the train. Europe and Japan had studied on this problem for a long time since 1960's, Results of those studies are reflected in recent Eurocode and the bridge design code of Japanese railway bridges. However, even though some traffic safety requirements were applied in Kyoung-bu highspeed railway by French engineers, we experienced many difficulties from insufficient information of criteria background and application procedures. In this paper, a investigation of recent traffic safety requirements of Europe and Japan for railway bridges will be introduced and application procedures for the estimation of dynamic performance will be proposed.

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Scheme for Harmonics measurement in feeding System of high speed railroad (고속전철 급전계통에서의 고조파 측정 방안)

  • Choi, Heung-Kwan;Hwang, Chi-U;Yoon, Jae-Young
    • Proceedings of the KIEE Conference
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    • 1998.11a
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    • pp.304-307
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    • 1998
  • High speed railway is under construction from Seoul to Pusan. A traveling train is large single phase load that consumes 14MW power in feeding system of high speed railroad. In this paper, measurement scheme and method of power system harmonics which are generated from those loads in railroad supply system are described. This measurement scheme will be used as a first step to pave a way to power quality management due to harmonic distortion by the highspeed rail way.

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Dynamic Performance Estimation and Procedures of Railway Bridges (철도교량 동적성능평가 기준 및 평가절차에 관한 연구)

  • Kim, Sung-Il;Park, Young-Gul;Jung, Hwi-Suk;Hong, Seong-Mo
    • Proceedings of the KSR Conference
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    • 2008.11b
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    • pp.883-890
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    • 2008
  • Dynamic instability of the railway bridge can cause track irregularities and be directly connected with unstable passenger comfort and derailment of the train. Europe and Japan had studied on this problem for a long time since 1960's, Results of those studies are reflected in recent Eurocode and the bridge design code of Japanese railway bridges. However, even though some traffic safety requirements were applied in Kyoung-bu highspeed railway by French engineers, we experienced many difficulties from insufficient information of criteria background and application procedures. In the present study, various studies will be presented for the estimation of dynamic performance will be proposed and procedures and methods of estimation will be shown.

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Analysis of Socio-economic Factors for Predition of Railrolad Trip Generation by Principal Component Analysis (주성분해석을 통한 철도이용객수요에 미치는 사회경제지표 분석)

  • Jung, Chan-Mook;Kim, Hyo-Jong
    • The Journal of the Korea Contents Association
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    • v.12 no.7
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    • pp.437-444
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    • 2012
  • This study features an analysis of the socio-economic factors of ten cities on the Honam-line that affect the number of train passengers. The 3 main factors based on the principal component analysis were the population, the distance between two regions, and the area size of each region while the number of automobiles has been conventionally used instead of the area size of each region. A formula to predict the train passengers by the regression analysis was developed and showed a good agreement to the number of real passengers. When Honam highspeed railway is opened, the traveling time between two regions as well as the area size of each regions should be more precisely considered.

The Evaluation of the Swing and Aerial Motion of Kovacs on Horizontal Bar (국내 철봉 선수들의 Kovacs의 흔들기 및 체공 동작에 대한 평가)

  • Lim, Kyu-Chan
    • Korean Journal of Applied Biomechanics
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    • v.30 no.4
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    • pp.293-299
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    • 2020
  • Objective: The aim of this study was to investigate the swing and aerial motion of Kovacs, and evaluate the skill level of Kovacs by Korean adult players on horizontal bar. Method: The subjects for this study were 6 male top athletes participated in the 46th National Gymnastics against Cities and Provinces. After the motions of Kovacs were filmed by digital highspeed camcorder setting in 90 frames/s, kinematical data were calculated through DLT method. The variables were computed in the lapse time, the joint angle, the position·velocity of body COG, the inferred tension force of bar, and body COG path were simulated according to skill level of Kovacs. Results: Firstly, it was revealed that the lapse time was 1.19±0.03 s in the swing phase, and 0.83±0.03 s in the aerial phase. Secondly, it was revealed that the shoulder·hip joint motions of S1 and S2 were better than the other subjects in the swing phase, and the knee joint motions of S1 and S2 were better than the other subjects in the aerial phase. Thirdly, it was revealed that the horizontal·vertical velocity of body COG were -1.40±0.03 m/s, 3.80±0.07 m/s respectively, and the vertical positions of S1 and S2 were higher a little than the other subjects. Lastly, the skill level of Kovacs of this subjects was evaluated into 3 steps; excellent, advanced, normal. They need to train the swing motion including a giant circle, and body motions in the air. Conclusion: It would be suggested that Korean domestic players should improve to increase the vertical velocity at release instant and train to control the limbs elaborately in the air.

Development of A Permanent Deformation Model based on Shear Stress Ratio for Reinforced-Roadbed Materials (전단응력비 개념에 기초한 강화노반의 영구변형 모델 수립)

  • Lim, Yu-Jin;Lee, Seong-Hyeok;Kim, Dae-Seong;Park, Mi-Yun
    • Proceedings of the KSR Conference
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    • 2011.10a
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    • pp.2049-2056
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    • 2011
  • The reinforced-roadbed materials composed of crushed stones are used for preventing vertical deformation and reducing impact load caused by highspeed train. Repeated load application can induce deformation in the reinforced-roadbed layer so that it causes irregularity of track. Thus it is important to understand characteristics of permanent deformation in the reinforced-subbase materials. The characteristics of permanent deformation can be simulated by prediction model that can be obtained by performing repetitive triaxial test. The prediction model of permanent deformation is a key-role in construction of design method of track. The prediction model of permanent deformation is represented in usual as the hyperbolic function with increase of number of load repetition. The prediction model is sensitive to many factors including stress level etc. so that it is important to define parameters of the model as clearly as possible. Various data obtained from repetitive triaxial test and resonant column test using the reinforced-roadbed of crushed stone are utilized to develop a new prediction model based on concept of shear-stress ratio and elastic modulus. The new prediction model of permanent deformation can be adapted for developing design method of track in the future.

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Utilizing Technology in Measurement System for Catenary Current: - Focusing on Testing Results for Kyoungbu High-speed Line in Korea - (조가선 전류 검측 시스템의 활용기술 연구 - 고속선 경부2단계 시험결과를 중심으로 -)

  • Park, Young;Jung, Hosung;Lee, Kiwon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.62 no.10
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    • pp.1465-1469
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    • 2013
  • The resent developed high speed train called HEMU-430X (Highspeed Electric Multiple Unit - 430km/h eXperiment) recorded a 421.4 km/h in Kyoungbu high speed line in Korea. A verity of measurement systems are used to check the performance between pantograph and catenary system. An innovative measurement system is adopted to check the current of catenary wire in the track side during HEMU-430X test running. This paper presents the measurement results of catenary current in kyoungbu high-speed line and describe its utilizing technology in the experimental results of catenary current. In order to analyze field testing results, the current ratio between contact and catenary current have been analyzed by means of Carson-Pollaczek equation. And the current wave forms between catenary and contact wire are presented based on the simulation results.

Running Safety and Ride Comfort Prediction for a Highspeed Railway Bridge Using Deep Learning (딥러닝 기반 고속철도교량의 주행안전성 및 승차감 예측)

  • Minsu, Kim;Sanghyun, Choi
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.35 no.6
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    • pp.375-380
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    • 2022
  • High-speed railway bridges carry a risk of dynamic response amplification due to resonance caused by train loads, and running safety and riding comfort must therefore be reviewed through dynamic analysis in accordance with design codes. The running safety and ride comfort calculation procedure, however, is time consuming and expensive because dynamic analyses must be performed for every 10 km/h interval up to 110% of the design speed, including the critical speed for each train type. In this paper, a deep-learning-based prediction system that can predict the running safety and ride comfort in advance is proposed. The system does not use dynamic analysis but employs a deep learning algorithm. The proposed system is based on a neural network trained on the dynamic analysis results of each train and speed of the railway bridge and can predict the running safety and ride comfort according to input parameters such as train speed and bridge characteristics. To confirm the performance of the proposed system, running safety and riding comfort are predicted for a single span, straight simple beam bridge. Our results confirm that the deck vertical displacement and deck vertical acceleration for calculating running safety and riding comfort can be predicted with high accuracy.