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Simulation-Based Genetic Algorithm towards an Energy-Efficient Railway Traffic Control

机译：基于仿真的遗传算法实现节能铁路交通控制

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摘要

The real-time traffic control has an important impact on the efficiency of the energy utilization in the modern railway network. This study is aimed to develop an energy-efficient railway traffic control solution for any specified railway. In other words, it is expected to define suitable driving profiles for all the trains running within a specified period through the targeted network with an objective to minimize their total energy consumption. How to optimize the train synchronization so as to benefit from the energy regenerated by electronic braking is also considered in this study. A method based on genetic algorithm and empirical single train driving strategies is developed for this objective. Six monomode strategies and one multimode strategy are tested and compared with the four scenarios extracted from the Belgian railway system. The results obtained by simulation show that the multi-mode control strategy overcomes the mono-mode control strategies with regard to global energy consumption, while there is no firm relation between the utilization rate of energy regenerated by dynamic braking operations and the reduction of total energy consumption.
机译：实时交通控制对现代铁路网络中的能源利用效率具有重要影响。这项研究旨在为任何指定的铁路开发节能的铁路交通控制解决方案。换句话说，期望为通过目标网络在指定时期内运行的所有列车定义合适的行驶曲线，目的是使它们的总能耗最小。在这项研究中，还考虑了如何优化列车同步性，以便从电子制动产生的能量中受益。为此目的，提出了一种基于遗传算法和经验单列驱动策略的方法。测试了六种单模策略和一种多模策略，并将其与从比利时铁路系统中提取的四种方案进行了比较。仿真结果表明，多模式控制策略在全球能耗方面克服了单模式控制策略，而动态制动操作产生的能量利用率与总能量的减少之间没有牢固的关系。消费。

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  • 来源
    《Mathematical Problems in Engineering》 |2013年第1期|805410.1-805410.12|共12页
  • 作者

    Daniel Tuyttens; Hongying Fei; Mohand Mezmaz; Jad Jalwan;

  • 作者单位

    Department of Mathematics and Operational Research, University of Mons, 9 Rue de Houdain, B7000 Mons, Belgium;

    School of Management, Shanghai University, No. 99 Shangda Road, Shanghai 200444, China;

    Department of Mathematics and Operational Research, University of Mons, 9 Rue de Houdain, B7000 Mons, Belgium;

    Department of Mathematics and Operational Research, University of Mons, 9 Rue de Houdain, B7000 Mons, Belgium;

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