With the increasing number of vehicular users, the driver and vehicular safety is a major concern. The integration of various technologies like AI, ML, etc., has enhanced the driver security by sensing and analysing various safety measures, i.e., termed as internet of vehicle. The fuel consumption optimization and regular monitoring of vehicle’s health is one of the important features of Internet of Vehicle. These can be achieved by optimization. Various infrastructures like cloud server, fog server, roadside unit, etc., enhance the real-time capabilities of the vehicle. The security of Internet of Vehicles should be addressed as use of publicly available servers makes communication vulnerable.


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    Titel :

    Artificial Intelligence and Machine Learning Technologies in Internet of Vehicles


    Weitere Titelangaben:

    AI Front. & Ethics


    Beteiligte:
    Arya, Rajeev (Herausgeber:in) / Sharma, Subhash Chander (Herausgeber:in) / Verma, Ajit Kumar (Herausgeber:in) / Iyer, Brijesh (Herausgeber:in) / Garg, Aakansha (Autor:in) / Katiyar, Sapna (Autor:in) / Gupta, Varuna (Autor:in) / Verma, Ajit Kumar (Autor:in) / Arya, Rajeev (Autor:in)


    Erscheinungsdatum :

    10.09.2024


    Format / Umfang :

    19 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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