Motorized road traffic is the dominant source of greenhouse gas (GHG) emissions in the German and the pan-European transport sectors. Traffic jams and stops in front of traffic lights are causing avoidable increased emissions from motorized traffic. As various research has shown, the usage of Green Light Optimal Speed Advisory (GLOSA) systems promises to reduce the fuel consumption of motorized vehicles, with a corresponding reduction in GHG emissions in front of signalized intersections.Click or tap here to enter text.


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    Titel :

    Stage Prediction of Traffic Lights Using Machine Learning


    Beteiligte:
    Proff, Heike (Herausgeber:in) / Heckmann, Kevin (Autor:in) / Schneegans, Lena Elisa (Autor:in) / Hoyer, Robert (Autor:in)

    Erschienen in:

    Towards the New Normal in Mobility ; Kapitel : 36 ; 635-653


    Erscheinungsdatum :

    04.05.2023


    Format / Umfang :

    19 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Deutsch




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