The emerging development in smart vehicles has improved transportation seamlessly. This paper deals with incorporating the modern technologies like Artificial Intelligence and Internet of Things(IoT) with the traditional transportation system. It states how AI algorithms can be integrated with IoT powered vehicles to manage and avoid crashing with idle vehicles on a speedway and assists for safer driving using the traffic symbol analysis to reduce accidents. Several communication standards for data transmission between the vehicle and control system has been stated. It also provides additional features like emergency or assistance for vehicles in speedway. It uses complex learning and analysis algorithms to improve the efficiency of driving and reduce rear-end collisions. This paper hence gives a comprehensive survey of the enabling technologies, protocols, and architecture for IoT powered transport.


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    Titel :

    Idle Vehicle Detection and Traffic Symbol Analysis using Artificial Intelligence and IoT


    Beteiligte:
    K, Arun Kumar (Autor:in) / D, Ashwin (Autor:in) / M, Surendar (Autor:in) / N, Manju Parkavi (Autor:in) / P, Banumathi (Autor:in) / T.K.P., Rajagopal (Autor:in)

    Erscheinungsdatum :

    2019-03-25


    Anmerkungen:

    International Research Journal of Multidisciplinary Technovation; Vol. 1 No. 2 (2019): Volume 1, Issue 2, Year 2019; 73-78 ; 2582-1040


    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629





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