Autonomous vehicles are making their way into our lives and their very existence will cause many probable ripples that will eventually require constant improvement and refinement. This research paper proposes an implication of such technology that could eventually save us from on-road difficulties, such as traffic jams, by optimizing the usage of autonomous vehicles.Technology is going to play a key role here, we will use the latent data from Google Maps to receive traffic reports and then use this data to create various levels of alerts to identify and improvise upon the traffic situation. If this idea is implemented, most of us would be able to save a lot of time and money and traffic jams wouldn't be as big a problem as they are today.We have the technology available to us but we are not able to use it fully to automate scenarios where something like traffic jam(s) could become avoidable. Automated vehicles, unlikehumans, are governed by certain instructions/protocols and that makes it easier to use these AVs to drive our future for the better.


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    Titel :

    Optimizing Autonomous Vehicles to Prevent On-Road Congestion


    Beteiligte:
    Mittal, Gaurav (Autor:in) / Sharma, Mayank (Autor:in) / Khatri, Sunil Kumar (Autor:in) / Johri, Prashant (Autor:in)


    Erscheinungsdatum :

    01.02.2019


    Format / Umfang :

    97019 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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