The rapidly spreading high-speed rail network poses severe challenges in the modern rail industry. These include increased traffic congestion and increased human errors in maintenance and traffic management. All these things raise the safety concerns of rail systems. The application of intelligent technologies not only gives a reliable solution to these problems, but also makes the system faster and more efficient. Many applications are developed for HSR systems based on intelligent technologies such as traffic control systems, fault detection systems, in-cab signaling systems, driver assistance systems, and navigation systems. These technologies have revolutionized various aspects of HSR systems and still continue to do so by enabling high-level automation and auto-adaptive systems. This chapter gives a detailed review of the usage of intelligent technologies in different sectors of high-speed rail (HSR) systems. It focuses on the application of artificial intelligence and machine learning technologies in sections such as traffic management, maintenance, communication, and more.


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    Titel :

    Intelligent Technologies in High-Speed Rail Transit Systems


    Weitere Titelangaben:

    Energy, Environment, and Sustainability


    Beteiligte:
    Upadhyay, Ram Krishna (Herausgeber:in) / Sharma, Sunil Kumar (Herausgeber:in) / Kumar, Vikram (Herausgeber:in) / Prasad, Nisha (Autor:in) / Jain, Shailendra (Autor:in)


    Erscheinungsdatum :

    2024-03-14


    Format / Umfang :

    33 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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