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International Conference on Information and Management Engineering

ICCIC 2011: Information and Management Engineering pp 492–499Cite as

The Integration Framework of Train Scheduling and Control Based on Model Predictive Control

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 236))

Abstract

The integration of railway signaling and communication realizes the bidirectional information transmission between trains and ground control centers. In order to take full advantage of such information integration, this paper presents the integration architecture of train scheduling and control based on the model predictive control with the hierarchical structure of top (macroscopic), middle (mesoscopic) and bottom (microscopic) levels. The top level realizes the real-time train scheduling, the middle level guarantees trains to run with safety distances and implement the real-time operation plans produced by the top level, and the bottom level accomplishes the energy control and drives the trains to run according to the set-points engendered by the middle level. The proposed hierarchical feedback control can optimize the train operation, shorten the departure interval, improve the railway line density, ensure the safety of railway transportation, and eventually fulfill the Real-time, Automatic, Predictive, Intelligent Scheduling and control for hIgh-Speed Trains (RAPISIST).

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Author information

Authors and Affiliations

  1. School of Electronic and Information Engineering, Beijing Jiaotong University, China

    Chao Mi & Yonghua Zhou

Authors
  1. Chao Mi
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  2. Yonghua Zhou
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Editor information

Editors and Affiliations

  1. Nanchang University, 235 Nanjing Donglu, 330047, Nanchang, China

    Min Zhu

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© 2011 Springer-Verlag Berlin Heidelberg

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Mi, C., Zhou, Y. (2011). The Integration Framework of Train Scheduling and Control Based on Model Predictive Control. In: Zhu, M. (eds) Information and Management Engineering. ICCIC 2011. Communications in Computer and Information Science, vol 236. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24097-3_74

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  • DOI: https://doi.org/10.1007/978-3-642-24097-3_74

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24096-6

  • Online ISBN: 978-3-642-24097-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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