Intelligent transportation is related to the developments in various types of technology. In this chapter we want to discuss the use of deep learning model to predict potential vibrations of high-speed trains. In our research we have tested developed deep learning model to predict potential vibrations. We have tested various time steps and potential error margins. Results of our research show that our system is able to predict with accuracy of above 95% with precise results in a series of values forward.


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    Titel :

    Deep Neural Network-Based Prediction of High-Speed Train-Induced Subway Track Vibration


    Weitere Titelangaben:

    Internet of Things: Tech., Communicat., Computing


    Beteiligte:
    Garg, Sahil (Herausgeber:in) / Aujla, Gagangeet Singh (Herausgeber:in) / Kaur, Kuljeet (Herausgeber:in) / Hassan Ahmed Shah, Syed (Herausgeber:in) / Wieczorek, Michał (Autor:in) / Siłka, Jakub (Autor:in) / Woźniak, Marcin (Autor:in)


    Erscheinungsdatum :

    15.12.2021


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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    Freier Zugriff

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