Based on the current development status of subway train driving technology in China and abroad, the four stages of subway train driving technology development were proposed and explained as manual driving, automatic driving, unmanned driving, and intelligent unmanned driving.After summarizing the construction situation of unmanned subway trains in China, the disadvantages of the current train control methods based on neural network-based machine learning methods were addressed.Then, the basic block diagram of metro intelligent unmanned driving based on man-machine hybrid intelligence was put forward and the deep fuzzy system was introduced.A promising solution for the combination of expert experience in dealing with emergency and interpretable AI algorithms for unmanned driving system to evolve into intelligent unmanned driving was provided.


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    Titel :

    Overview of metro train driving technology development:from manual driving to intelligent unmanned driving


    Beteiligte:
    Wenzhu LAI (Autor:in) / Dewang CHEN (Autor:in) / Zhenfeng HE (Autor:in) / Xinguo DENG (Autor:in) / CARLO Marano GIUSEPPE (Autor:in)


    Erscheinungsdatum :

    2022



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt





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