The congestion of vehicles on the road is increasing day by day and also the management of such large traffic by traditional approach isn't adequate enough. In today’s scenario the traditional approach works efficiently only if the count is sparse, as the density of vehicles on a particular side of road increases or if the traffic is comparatively larger on one side than other side in such case the approach fails. Hence, we aim to redesign the traffic signal system that is static switching to signal switching, which can performs real-time signal monitoring and handling. So, in this project the switching time of signal will be decided based on real time image detection with good accuracy in dense traffic. This practice can prove its most effectiveness in releasing the congested traffic at an efficient and faster rate.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Real Time Traffic Management Using Machine Learning


    Contributors:


    Publication date :

    2020-02-01


    Size :

    784088 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Real-Time Traffic Management System Using Machine Learning and Image Processing

    Sheela, S. / Nataraj, K. R. / Rekha, K. R. | Springer Verlag | 2023


    REAL TIME TRAFFIC MANAGEMENT SYSTEM USING MACHINE LEARNING AND IMAGE PROCESSING

    SWAMY NATARAJ / NEJAKAR SANTOSH / R REKHA et al. | European Patent Office | 2022

    Free access

    Real- Time Traffic Prediction And Optimization using Machine Learning

    Vineetha, Kundrapu / Reddy, M. Tharun / Ali, Md. Jaffer et al. | IEEE | 2025


    Real-time decision support for air traffic management, utilizing machine learning

    Nogami, J. / Nakasuka, S. / Tanabe, T. | Tema Archive | 1996


    Machine Learning-Based Real-Time Traffic Control System

    Jain, Sweety / Singh, Anushka / Shah, Shweta N. et al. | IEEE | 2021