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Energy Efficiency and Smooth Running of a Train on the Route While Approaching Another Train

Author

Listed:
  • Janusz Szkopiński

    (PKP Polskie Linie Kolejowe S.A., 03-734 Warsaw, Poland)

  • Andrzej Kochan

    (Faculty of Transport, Warsaw University of Technology, 00662 Warsaw, Poland)

Abstract

This paper presents an innovative technique of traffic management on a route divided into fixed block distances for trains equipped with a continuous area data transmission system that ensures information exchange between a train and a control center. The originality of the technique is focused on the optimization of the following train’s speed profile in terms of energy consumption under the need to maintain a minimum distance to the preceding train and to assume the smooth running of the following train, using elements of fixed and mobile block distance methods. The obtained results are an answer to the question of whether it is possible to obtain a smoother movement of the train and savings in mechanical energy consumption if the speed profile of this train is adjusted to the conditions before the train, such as information about the speed of the preceding train.

Suggested Citation

  • Janusz Szkopiński & Andrzej Kochan, 2021. "Energy Efficiency and Smooth Running of a Train on the Route While Approaching Another Train," Energies, MDPI, vol. 14(22), pages 1-27, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:22:p:7593-:d:678354
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    References listed on IDEAS

    as
    1. Emilia Koper & Andrzej Kochan, 2020. "Testing the Smooth Driving of a Train Using a Neural Network," Sustainability, MDPI, vol. 12(11), pages 1-14, June.
    2. Fei Lin & Shihui Liu & Zhihong Yang & Yingying Zhao & Zhongping Yang & Hu Sun, 2016. "Multi-Train Energy Saving for Maximum Usage of Regenerative Energy by Dwell Time Optimization in Urban Rail Transit Using Genetic Algorithm," Energies, MDPI, vol. 9(3), pages 1-21, March.
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    Citations

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    Cited by:

    1. Wolfram Heineken & Marc Richter & Torsten Birth-Reichert, 2023. "Energy-Efficient Train Driving Based on Optimal Control Theory," Energies, MDPI, vol. 16(18), pages 1-40, September.
    2. Andrzej Kochan & Wiktor B. Daszczuk & Waldemar Grabski & Juliusz Karolak, 2023. "Formal Verification of the European Train Control System (ETCS) for Better Energy Efficiency Using a Timed and Asynchronous Model," Energies, MDPI, vol. 16(8), pages 1-22, April.
    3. Janusz Szkopiński & Andrzej Kochan, 2023. "Maximization of Energy Efficiency by Synchronizing the Speed of Trains on a Moving Block System," Energies, MDPI, vol. 16(4), pages 1-26, February.

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