The issue of road traffic is steadily on the rise by virtue of easy accessibility to automobiles and exponentially rising population. Due to traffic congestion deadlocks, commuters are left stranded in traffic jams for hours leading to a huge waste of time. The other contributing factor to traffic is the advent of private cab services despite the availability of other means of public transport. There are times when road repair work, construction work, accidents are responsible for unforeseen diversions which inadvertently lead to traffic jams. Sometimes, poor road design is also a major cause of traffic. It is extremely important to address this colossal predicament since it not only wastes valuable time but is also hazardous to the environment. Our goal is to devise a comprehensive system that determines the root cause of traffic by incorporating new age technologies like real time video processing and machine learning thereby helping us alleviate traffic issues and promote road safety.


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    Titel :

    Smart Road Traffic Handler: Cause Identification and Resolution Using Image Processing


    Beteiligte:
    Yadav, Mukesh (Autor:in) / Ghadge, Kasturi (Autor:in) / Shetty, Nitya (Autor:in) / Chanchlani, Deepa (Autor:in) / Narwani, Priyanka (Autor:in) / Joseph, Richard (Autor:in)


    Erscheinungsdatum :

    01.01.2019


    Format / Umfang :

    5616188 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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