Smart Traffic System (STS) is a one of the important aspect for future smart city. STS is more expensive and highly configurable to provide better quality of service for public traffic management. This paper proposes a low cost future STS to provide better service by deploying traffic update instantly. Low cost vehicle detecting sensors are fixed in the middle of road for every 500 meters. Internet of Things (IoT) is being used to attain public traffic data quickly and send it for data processing. The Real time streaming data is sent for Big Data analytics. There are several analytical scriptures to analyze the traffic density and provide solution through predictive analytics.


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    Titel :

    Internet of things — smart traffic management system for smart cities using big data analytics


    Beteiligte:
    Sharif, Abida (Autor:in) / Li, Jianping (Autor:in) / Khalil, Mudassir (Autor:in) / Kumar, Rajesh (Autor:in) / Sharif, Muhammad Irfan (Autor:in) / Sharif, Atiqa (Autor:in)


    Erscheinungsdatum :

    01.12.2017


    Format / Umfang :

    236042 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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