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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2019  >  19(1): 147-160
CAI Bai-gen, SUN Jing, SHANGGUAN Wei. Elastic adjustment strategy of dynamic interval optimization for high-speed train[J]. Journal of Traffic and Transportation Engineering, 2019, 19(1): 147-160. doi: 10.19818/j.cnki.1671-1637.2019.01.015
Citation: CAI Bai-gen, SUN Jing, SHANGGUAN Wei. Elastic adjustment strategy of dynamic interval optimization for high-speed train[J]. Journal of Traffic and Transportation Engineering, 2019, 19(1): 147-160. doi: 10.19818/j.cnki.1671-1637.2019.01.015
shu

Elastic adjustment strategy of dynamic interval optimization for high-speed train

doi: 10.19818/j.cnki.1671-1637.2019.01.015
  • 1.

    School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China

  • 2.

    State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China

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  • Author Bio:

    CAI Bai-gen (1966-), male, professor, PhD, E-mail: bgcai@bjtu.edu.cn

    SHANGGUAN Wei(1979-), male, professor, PhD, wshg@bjtu.edu.cn

  • Received Date: 2018-08-16
  • Publish Date: 2019-02-25
    Abstract
  • To ensure the train operation safety and improve the carrying efficiency of railway line, the interval elastic adjustment strategy of high-speed train tracking operation and dynamic optimization of manipulating trajectory were researched under the moving block system. The optimal objectives including the operation safety, efficiency, energy consumption of high-speed train and comfort of passengers were taken into account to obtain the train operation control strategy curve, and the train tracking operation process was researched. The multi-objective optimization of high-speed train model of train operation process was solved through the differential evolution algorithm, and the offline optimal operation control strategy curve was obtained. The train elastic tracking interval model was proposed, and the real-time change of tracking interval during the train operation process was analyzed. On the basis of the elastic interval model, a dynamic train tracking operation control strategy adjustment mechanism was designed. The train actual operation data were collected, and the actual tracking interval between adjacent trains was monitored in real-time. The interval was evaluated whether it meets the safety and time-efficiency constraints, and the assessment result was analyzed. The following train's operation state and condition were adjusted online according to the conversion principle of operation phases, and the train tracking interval was optimized in real-time. The numerical simulation using the real operation data of Wuhan-Guangzhou High-speed Railway Line from Chibi North Station to Changsha South Station was conducted. Simulation result indicates that compared with the real section operation data, the energy consumption reduces by 6.86% by adopting the offline optimal operation control strategy curve. Compared with the fixed tracking time interval model, the transport efficiency of the overall railway line is efficiently promoted by adopting the control strategy dynamic adjustment mechanism based on the elastic model, which reduces the critical safety departure interval from 234 s to 161 s. The overall railway line operation efficiency is shortened from 6 434 s to 6 376 s, and the energy consumption of tracking train reduces by 7.194% compared with the actual operation data.

     

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