The increase in population has increased congestion in traffic which has caused the users to take different routes between the same source and destination. Personalized route prediction system provides routes based on the user requirements, also the intent of the user to take a specific route. The user may prefer a long route with less congestion over a short route with more congestion. The route prediction has many constraints on which the routes are predicted, so there are many algorithms that can be used to give priority to a specific constraint. This paper gives a survey of few of the algorithms and methods used by predictor systems.


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    Titel :

    Personalized dynamic route prediction using machine learning: A review


    Beteiligte:
    Sudhanva, M G (Autor:in) / Kishore, S (Autor:in) / Dixit, Sunanda (Autor:in)


    Erscheinungsdatum :

    2017-04-01


    Format / Umfang :

    190901 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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