• Title/Summary/Keyword: 열차자율주행

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Train interval control and train-centric distributed interlocking algorithm for autonomous train driving control system (열차자율주행제어시스템을 위한 간격제어와 차상중심 분산형 연동 알고리즘)

  • Oh, Sehchan;Kim, Kyunghee;Choi, Hyeonyeong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.11
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    • pp.1-9
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    • 2016
  • Train control systems have changed from wayside electricity-centric to onboard communications-centric. The latest train control system, the CBTC system, has high efficiency for interval control based on two-way radio communications between the onboard and wayside systems. However, since the wayside system is the center of control, the number of input trains to allow a wayside system is limited, and due to the cyclic-path control flows between onboard and wayside systems, headway improvement is limited. In this paper, we propose a train interval-control and train-centric distributed interlocking algorithm for an autonomous train-driving control system. Because an autonomous train-driving control system performs interval and branch control onboard, both tracks and switches are shared resources as well as semaphore elements. The proposed autonomous train-driving control performs train interval control via direct communication between trains or between trains and track-side apparatus, instead of relying on control commands from ground control systems. The proposed interlocking algorithm newly defines the semaphore scheme using a unique key for the shared resource, and a switch that is not accessed at the same time by the interlocking system within each train. The simulated results show the proposed autonomous train-driving control system improves interval control performance, and safe train control is possible with a simplified interlocking algorithm by comparing the proposed train-centric distributed interlocking algorithm and various types of interlock logic performed in existing interlocking systems.

Distributed UORA Scheme for Autonomous Train Communication in Congested Environment (자율주행 열차의 혼잡 상황 통신을 위한 분산형 UORA 기법)

  • Ahn, Woojin;Kim, Ronny Yongho
    • Journal of Advanced Navigation Technology
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    • v.23 no.6
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    • pp.542-547
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    • 2019
  • Autonomous train is investigated to increase the capacity of railroad, and the reliability of wireless communication plays a critical role in terms of decreasing the inter-train distance. In this paper, we propose a transmission scheme for autonomous train communication in highly congested environment. The proposed scheme, namely distributed uplink orthogonal frequency division multiple access (OFDMA) random access (UORA), applies the triggered uplink access (TUA) and the UORA, introduced in the sixth generation WLAN standard, IEEE 802.11ax, for communication devices on vehicle and platform in a distributed manner. The simulation results show that the proposed scheme efficiently improves the packet transmission success rate in highly congested channel conditions compared to the conventional enhanced distributed channel access (EDCA) transmission scheme.

Performance Analysis of LTE-R Radio Communication Systems in High Speed Train Environment (열차 고속 주행환경에서 LTE-R 무선통신시스템 성능 분석)

  • Kwon, You-Chul;Choi, Jun-Sung;Oh, Hyun-Seo;Kim, Seong-Cheol
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.4
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    • pp.587-594
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    • 2022
  • This paper analyzed radio link throughput performance by applying radio link simulation and test equipment because there is limit in train filed test in 420 km/h high speed environment. According to the radio performance analysis, the throughput performance is slightly degraded in QPSK and 16QAM modulation schemes. But throughput performance is highly degraded in 64QAM modulation scheme.

A Model Using IOT Based Railway Infrastructure Sensor Data for Recognition of Abnormal state (IOT기반 철도인프라 데이터를 활용한 이상상황 인식모델)

  • Jang, Gyu-JIn;Ahn, Tae-Ki;Kim, Young-Nam;Jung, Jae-Young
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.10a
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    • pp.771-773
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    • 2018
  • 인공지능(AI), 사물인터넷(IoT)등의 4차 산업기술은 철도안전의 핵심수단으로 부상하고 있으며 차량, 위험관리, 운행관리, 보안관리 등의 점진적인 적용분야 확장을 통해 철도안전에 대한 신뢰성을 향상시킬 수 있는 방안에 대한 관심이 집중되고 있다. 본 논문에서는 IoT 기반의 다양한 철도인프라 데이터를 활용하여 열차주행상태에 영향을 줄 수 있는 이상상황 인식 모델 및 열차자율주행을 위한 제어기술에 필요한 정보로 인프라 상태를 제공하는 방식을 제안한다. 철도 인프라 상황인지에 필요한 데이터는 레일온도, 선로 지정물, 승객 수, 선로 적설량을 지정하였고, 제안 인식모델의 스게노 퍼지추론 방식을 적용한 후 철도차량 운전관련 취급규정 및 취급세척을 기반으로 퍼지규칙(Fuzzy Rule)을 15개 생성하였다. 인프라데이터셋을 활용하여 제안모델의 인식률 평가에 사용하였으며 인식률 결과는 약 86%의 정확성을 보였다. 퍼지추론 기반 방식의 철도인프라 이상상태 인식모델을 철도분야에 접목시킨다면 기존의 관제기반 방식보다 효율적인 철도인프라 상황인식이 가능할 것으로 판단된다.

Technology Trends in Wireless Communication for Railway Systems (철도전용 무선통신 기술 동향)

  • Lee, S.J.;Oh, S.C.;Yoon, B.S.;Jeong, H.S.
    • Electronics and Telecommunications Trends
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    • v.36 no.4
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    • pp.23-33
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    • 2021
  • Wireless communication for train control is an active research field. The World Railway Federation in Europe developed GSM-R, which integrates the GSM-based voice call standard and train control signals. To provide advanced railway services, the LTE-R wireless communication system was developed in Korea for passenger services and wireless image information required by the railroad industry. Recently, direct communication technology for autonomous train driving has been studied to decrease the driving interval, and research is being conducted on a hyperloop train control system that runs at a maximum speed of 1,220km/h in a subvacuum environment of 0.001 atmosphere. In this paper, we summarize the trends in wireless communication technologies used for GSM-R/LTE-R railway systems. For future wireless communication in railway systems, we discuss autonomous train driving and the hyperloop railway control system, define wireless communication technology, and discuss trends in domestic and foreign technologies.

Measuring Technique For Acoustic Roughness of Rail Surface With Homogeneous Displacement Sensors (동일 변위센서를 사용한 레일표면 음향조도의 측정방법)

  • Jeong, Wootae;Jang, Seungho;Kho, Hyo-In
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.11
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    • pp.7941-7948
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    • 2015
  • Rolling noises during train operation are caused by vibration excited from irregularities of surface roughness between wheel and rail. Therefore, a proper measurement and analysis techniques of acoustic roughness between wheel and rail surface are required for transmission, prediction, and analysis of the train rolling noise. However, since current measuring devices and methods use trolley-based manual handling devices, the measurements induce unstable measuring speed and vibrational interface that increases errors and disturbances. In this paper, a new automatic rail surface exploring platform with a speed controller has been developed for improving measurement accuracy and reducing inconsistency of measurements. In addition, we propose a data integration method of the rail surface roughness with multiple homogeneous displacement sensors and verified the accuracy of the integrated data through standard test-bed railway track investigation.