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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Artificial Intelligence and Machine Learning Technologies in Internet of Vehicles


    Additional title:

    AI Front. & Ethics


    Contributors:


    Publication date :

    2024-09-10


    Size :

    19 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Machine Learning Technologies in Internet of Vehicles

    Ali, Elmustafa Sayed / Hassan, Mona Bakri / Saeed, Rashid A. | Springer Verlag | 2021


    A Survey on Artificial-Intelligence-Based Internet of Vehicles Utilizing Unmanned Aerial Vehicles

    Syed Ammad Ali Shah / Xavier Fernando / Rasha Kashef | DOAJ | 2024

    Free access

    Machine Learning and Artificial Intelligence

    Sadatuzzaman Saagoto, Md. / Farhan, Ahmed / Barua, Protik et al. | Springer Verlag | 2024