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Review of Energy-Efficient Train Trajectory Optimization and Intelligent Control

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Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019 (EITRT 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 638))

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Abstract

With the increasing attention of the society to the green, security and intelligence, the train trajectory optimization and intelligent control is becoming one of the hot points of research. In this paper, the existed research, recent progress, and research trends of speed profile optimization and train speed tracking control are introduced in this paper. The references cover most well-known institutions, research groups, and researchers in this field. This paper provides a detailed reference for the study and research of the students and researchers in this field to know the relevant history, present situation, and future work.

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Acknowledgements

The authors would like to thank all reviewers for their help and valuable comments and the contributions of Wenyu He, Chen Huang, Heng Shi and Tianlu Zhang for this paper. This work was supported by the National Key R&D Program of China (Project No. 2017YFB1201105-12).

Author information

Authors and Affiliations

  1. School of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou, 341000, China

    Jie Yang, Biao Wang, Limin Jia & Kuan Zhu

  2. School of Electrical Engineering, Beijing Jiaotong University, Beijing, 100044, China

    Limin Jia

  3. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China

    Limin Jia

Authors
  1. Jie Yang
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  2. Biao Wang
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  3. Limin Jia
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  4. Kuan Zhu
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Corresponding author

Correspondence to Jie Yang .

Editor information

Editors and Affiliations

  1. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China

    Limin Jia

  2. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China

    Yong Qin

  3. National Innovation Center of High Speed Train, Qingdao, China

    Baoming Liu

  4. Beijing Jiaotong University, Beijing, China

    Zhigang Liu

  5. Beijing Jiaotong University, Beijing, China

    Lijun Diao

  6. School of Science, Engineering and Environment, University of Salford, Salford, UK

    Min An

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Yang, J., Wang, B., Jia, L., Zhu, K. (2020). Review of Energy-Efficient Train Trajectory Optimization and Intelligent Control. In: Jia, L., Qin, Y., Liu, B., Liu, Z., Diao, L., An, M. (eds) Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019. EITRT 2019. Lecture Notes in Electrical Engineering, vol 638. Springer, Singapore. https://doi.org/10.1007/978-981-15-2862-0_30

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  • DOI: https://doi.org/10.1007/978-981-15-2862-0_30

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-2861-3

  • Online ISBN: 978-981-15-2862-0

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