Estimating traffic continuously is an important principle serviceability of urban communities. In order to decrease the expenses of arrangement and activity, traffic estimation with vehicles has been broadly studied. The main aim of this paper is to propose a traffic observing framework utilizing vehicles. The proposed calculation has the benefit of having an extremely low data processing expenses, permitting the majority of the pre-preparation to be done in the vehicles and consequently making conceivable the incorporated assortment of countless estimations. The proposed framework is made out of two calculations; a virtual trip line that evaluates the traffic and a traffic information authority that totals the data from numerous vehicles and consolidates with data authorities. The framework has been tried in a genuine situation, contrasting its exactness and a customary congestion demodulator, demonstrating its precision.


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    Titel :

    An Efficient Technique for Traffic Estimation Using Virtual Trip Lines in Probe Vehicles


    Weitere Titelangaben:

    Lecture Notes on Data Engineering and Communications Technologies


    Beteiligte:
    Khanna, Ashish (Herausgeber:in) / Gupta, Deepak (Herausgeber:in) / Pólkowski, Zdzisław (Herausgeber:in) / Bhattacharyya, Siddhartha (Herausgeber:in) / Castillo, Oscar (Herausgeber:in) / Goud, Teena (Autor:in) / Dureja, Ajay (Autor:in) / Dureja, Aman (Autor:in)


    Erscheinungsdatum :

    2021-01-05


    Format / Umfang :

    14 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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