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    Congestion estimation and turning ratio prediction based on machine learning with applications in urban traffic light control by Chen, Qixing

    Published 2020
    “…The first pre-work is urban traffic network congestion region identification and prediction with two case studies at NTU campus and Jurong area, which utilizes the vehicle data (average speed, GPS-based location, heading direction) via V2X to analyse the traffic condition of each link. Links with similar congestion levels will be clustered together into a region. …”
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    Thesis-Master by Research