Stage Prediction of Traffic Lights Using Machine Learning
Kevin Heckmann (),
Lena Elisa Schneegans () and
Robert Hoyer ()
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Kevin Heckmann: Universität Kassel
Lena Elisa Schneegans: Universität Kassel
Robert Hoyer: Universität Kassel
A chapter in Towards the New Normal in Mobility, 2023, pp 635-653 from Springer
Abstract:
Abstract 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.
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-658-39438-7_36
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DOI: 10.1007/978-3-658-39438-7_36
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