Abstract High quality dispatching ensures a good level of train punctuality and reduces operating costs. The main savings come from reduction of the traction energy consumption. The paper considers the issues of creating an adequate energy model, which is needed for efficient adjustment of train traffic. The authors develop a methodology for the meso-modeling and optimal traffic control. We describe two types of operational management such as regulation of a single train speed profile and the services flow control. Optimization criterion is the minimum energy rate. Detailed study of the traction energy consumption dynamics is carried out using correlation analysis. The main revealed regularities are: the correlation between the energy consumption and the relief increases with heaviness of path and falls when an unplanned delays occur. The conclusions obtained make it possible to improve the traction energy consumption model.


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    Title :

    Online Energy-Efficient Train Traffic Adjustments


    Contributors:


    Publication date :

    2017-12-19


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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