With the ever-increasing population and change in lifestyle, transport and communication is becoming more demanding. Every year, roads see significant increase in the number of vehicles. Urbanization and convergence of population makes it more challenging to handle communication in a more secure and efficient way. Several accidents and mishaps happen mainly because of drivers' error. Due to this, it becomes very important to monitor driver behavior in real-time. With several sensors doing this job, in addition to sensors for the vehicle and environment, data aggregation and communication becomes yet another challenge. To cope with time-sensitivity of the data communication, fog computing paradigm is to be involved. In this paper, we present a fog-based architecture for driver behavior monitoring and assisting intelligent transportation system (ITS). We provide evaluation on how much fog can assist in this regard, by making a comparison of cloud-only and fog-cloud scenarios.


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    Titel :

    Fog Assisted Driver Behavior Monitoring for Intelligent Transportation System


    Beteiligte:


    Erscheinungsdatum :

    01.09.2017


    Format / Umfang :

    437074 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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