Transportation, the backbone of our contemporary society, teeters on the edge of an era of digital transformation. Generative Artificial Intelligence (Gen AI), a robust division of artificial intelligence, is emerging as a pivotal catalyst for this revolution, offering the potential to redefine vehicle design, enhance traffic management, and cultivate a safer, more environmentally friendly transportation ecosystem. AI technology in transportation has the potential to transform traffic control by forecasting and alleviating immediate congestion. Picture AI-driven mechanisms that can adapt traffic signals on the fly, redirect vehicles, and anticipate accidents in advance, resulting in a more efficient and secure traffic flow for all. AI technology in the transportation sector enables manufacturers to provide unprecedented levels of personalized vehicle customization. By utilizing Gen AI algorithms that take into account individual preferences, driving behaviors, and lifestyle choices, unique design proposals can be created. This high degree of customization not only meets consumer preferences but also fosters a stronger bond between drivers and their vehicles.


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    Titel :

    Transformative Impact of Generative Artificial Intelligence (Gen AI) on Smart Transportation System


    Weitere Titelangaben:

    Lecture Notes in Intelligent Transportation and Infrastructure


    Beteiligte:
    Khang, Alex (Herausgeber:in) / Satpathy, Ipseeta (Autor:in) / Nayak, Arpita (Autor:in) / Khang, Alex (Autor:in)


    Erscheinungsdatum :

    12.01.2025


    Format / Umfang :

    17 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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