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CHEN Rong-wu, LIU Li, GUO Jin. Optimization algorithm of train operation energy consumption based on genetic algorithm[J]. Journal of Traffic and Transportation Engineering, 2012, 12(1): 108-114. doi: 10.19818/j.cnki.1671-1637.2012.01.017
Citation: CHEN Rong-wu, LIU Li, GUO Jin. Optimization algorithm of train operation energy consumption based on genetic algorithm[J]. Journal of Traffic and Transportation Engineering, 2012, 12(1): 108-114. doi: 10.19818/j.cnki.1671-1637.2012.01.017
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Optimization algorithm of train operation energy consumption based on genetic algorithm

doi: 10.19818/j.cnki.1671-1637.2012.01.017

  • School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, Sichuan, China

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  • Author Bio:

    CHEN Rong-wu(1971-), male, engineer, PhD, +86-28-87600709, rwchen@home.swjtu.edu.cn

  • Received Date: 2011-10-01
  • Publish Date: 2012-02-25
    Abstract
  • Train control model and train operation regulation in communication based train control(CBTC) system were studied, train operation control in inter-station section was optimized combinatorially for the purpose of reducing energy consumption, and the optimization algorithm of train operation energy consumption based on genetic algorithm was provided.Train operation speed curves were calculated for each performance level or specified run time of each section under particular line conditions.Energy consumption calculation and optimization simulation were performed on a 2 400-meter long track line with the setting of a typical energy saving grade and a 60 km·h-1 speed restriction area.Analysis result shows that the traction energy consumptions of optimized speed curve reduce to 62%, 58%, 60% of speed curves for performance levels 2, 3, 4 respectively, energy saving effect is remarkable, and the optimization algorithm is efficient.

     

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