Automatic Train Control Algorithm for Train Tracking

WANG Pengling; WANG Qingyuan; CUI Hengbin; MA Lei; FENG Xiaoyun

doi:10.3969/j.issn.0258-2724.2013.06.012

Volume 26 Issue 6

Dec. 2013

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Journal of Southwest Jiaotong University > 2013 > 26(6): 1045-1051.

WANG Pengling, WANG Qingyuan, CUI Hengbin, MA Lei, FENG Xiaoyun. Automatic Train Control Algorithm for Train Tracking[J]. Journal of Southwest Jiaotong University, 2013, 26(6): 1045-1051. doi: 10.3969/j.issn.0258-2724.2013.06.012

Citation:

WANG Pengling, WANG Qingyuan, CUI Hengbin, MA Lei, FENG Xiaoyun. Automatic Train Control Algorithm for Train Tracking[J]. Journal of Southwest Jiaotong University, 2013, 26(6): 1045-1051. doi: 10.3969/j.issn.0258-2724.2013.06.012

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Automatic Train Control Algorithm for Train Tracking

doi: 10.3969/j.issn.0258-2724.2013.06.012

Received Date: 06 Sep 2012
Publish Date: 25 Dec 2013

Abstract

Abstract

To build a safe and stable operation strategy for train tracking, a train tracking model was established by the train longitudinal dynamics. In the model, control objectives of the train operation differ between single-and multi-train operation: In the single train operation, the train runs on a curve at the optimal speed; in the train-tracking operation, a safe headway between trains should be guaranteed. A hierarchical model-predictive controller together with quadratic optimization was applied to determine the optimal speed regulation process. A simulation was conducted based on the CRH2 EMU and the Wuhan-Guangzhou railway line to verify the model's validity. The results show that the train tracking security is significantly improved by the proposed method, and the riding comfort is guaranteed while the acceleration is at -0.75-0.5 m/s2 and the jerk is at -0.5-0.5 m/s3.
- automatic train control,
- model predictive control,
- train tracking

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