Currently, most studies on automatic metro train driving rely on actual driving curves and data, but its acquisition is often complicated and costly, and is relatively homogeneous and less versatile. Therefore, this paper proposes an automatic generation method for large virtual driving curves of metro trains. It can be concluded from the generation of large virtual driving curves: (1) The proposed method can generate large virtual curves according to different and complex line conditions, and the curves generated provides more driving options for train driving; (2) The curves generated covers all possible station travel times and large driving curves are available for screening within each time period; (3) The curves generated are both highly accurate and diverse, which can generate large datasets for supervised learning of automatic train driving under complex line conditions.


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    Title :

    Automatic Generation Method for Large Virtual Driving Curves of Metro Trains with Complex Line Conditions


    Contributors:
    Huang, Yunhu (author) / Chen, Dewang (author) / Zhao, Wendi (author) / Zheng, Shaofeng (author) / Lu, Yuqi (author)


    Publication date :

    2022-10-08


    Size :

    750817 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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