Energy efficiency is a long-term strategic tool for China's socio-economic development and a key issue for railroad construction and operation. The energy used for train operation in urban railroads accounts for about half of the total energy consumption of the entire railroad system. Therefore, reducing the energy consumption of the propulsion system is an effective way to reduce the total energy consumption of urban railroads. This article explored the simulation analysis of an energy-saving operation optimization model for urban rail transit based on the GRU algorithm. This article carefully analyzed the GRU algorithm and introduced the determining factors of energy consumption in urban rail transit, and discussed the application of the GRU algorithm to solve the energy-saving problem of urban rail transit. Finally, by comparing and analyzing the urban rail transit energy saving optimization model based on GRU algorithm with the pre optimization and other algorithms through experiments, the experiment showed that the model based on the algorithm in this paper had better performance (the algorithm in this paper achieved 10% energy saving, and the energy saving of GRU algorithm was 3MJ more than that of Ant colony optimization algorithms).


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    Titel :

    Simulation of Energy-Saving Operation Optimization Model for Urban Rail Transit Based on GRU Algorithm


    Beteiligte:
    Zhang, Dandan (Autor:in) / Xia, Tian (Autor:in)


    Erscheinungsdatum :

    02.11.2023


    Format / Umfang :

    297802 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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