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基于模拟退火算法的列车自动调整能力研究

Automatic train regulation capability based on Simulated Annealing Algorithm

  • 摘要: 列车自动调整(ATR)系统是ATS系统中十分重要的一个环节,对保障行车效率起到了举足轻重的作用。本文首先仔细研究了列车调整多目标多约束的特点,再结合经验性方法对列车调整进行模型建立。然后利用模拟退火算法的收敛于全局最优解的特性对所建模型进行求解,并通过VS2010仿真平台对结论进行验证。

     

    Abstract: Automatic Train Regulation System was a very important part in the ATS System. it played an important role to ensure traffic efficiency. The paper carefully considered the multi-objective and multi-constraint characteristics of train automatic regulation, combined with empirical methods to set up the model of train regulation. The Simulated Annealing Algorithm was with the feature of converging to global optimal solution. The model was solved by using this feature. The simulation platform VS2010 was used to validate the conclusions.

     

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