Abstract The era of autonomous car is yet to evolve, as the job of planning navigation path in dynamically changing environment has become a challenging task for researchers. One of the fundamental dynamically changing parameter is traffic. In this paper, we have proposed dynamic vehicle traffic routing algorithm to facilitate the robotic car to find the appropriate route from a particular source location to reach the destination. Moreover, we have demonstrated this algorithm by applying different constraints like lookahead condition and previously acquired values as heuristic. Illustrations of these variants of algorithm are analyzed, based on the real data of a city. In addition to it, we have described how providing a cloud service can enhance the computation speed of enormous and continuously changing traffic data, thereby meeting storage requirements. OpenStack is used as a software platform to provide this service to the large-scale local network.


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    Titel :

    Providing Cloud Services to an Autonomous Robotic Car in Real-Time Traffic Environment


    Beteiligte:


    Erscheinungsdatum :

    2017-11-17


    Format / Umfang :

    12 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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