In India, traffic is growing multiple times quicker than the population. Wellbeing of streets has turned into a fundamental issue for governments and transport system for past twenty years. Due to increasing population, number of vehicles also have increased heavily, so vehicles traffic on street has turned into a fundamental issue. To beat these issues, in this article we study different traffic assessment techniques such as image processing by collecting the texture features, machine learning (Naive Bayes classifier, K-Nearest Neighborhood), Artificial Neural Network (ANN) and Deep learning approaches (Deep Neural Network, GSA-DNN). The framework is implemented in MATLAB 2015a and the results shows that it can be considerably applied to real time application for assessing the traffic.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Real Time Traffic Assesment using Image Processing


    Beteiligte:
    Pushpalata (Autor:in) / Sasikala, M. (Autor:in)


    Erscheinungsdatum :

    16.12.2020


    Format / Umfang :

    316548 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    ASSESMENT OF TRAFFIC OPERATIONS ON MOTORWAYS: A NUMERICAL MAPPING APPROACH

    Cohen, S. / World Conference on Transport Research Society | British Library Conference Proceedings | 1999


    Moulded headliners:a technological assesment

    Bedford,A.M. / John Cottow,US | Kraftfahrwesen | 1989


    Pilots psychophysiological condition assesment

    Šerlová, Michaela / Van den Bergh, Sarah / Socha, Vladimír et al. | BASE | 2018

    Freier Zugriff

    Assesment of DRAM Reliability from Retention Time Measurements

    Lieneweg, U. / Nguyen, D. / Blaes, B. | NTRS | 1998


    Drive Shaft Safety Assesment Method

    Delmastro, R. / Giovannetti, V. / Paletto, G. | British Library Conference Proceedings | 1997