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2023 | OriginalPaper | Chapter

Stage Prediction of Traffic Lights Using Machine Learning

Authors : Kevin Heckmann, Lena Elisa Schneegans, Robert Hoyer

Published in: Towards the New Normal in Mobility

Publisher: Springer Fachmedien Wiesbaden

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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.

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Metadata
Title
Stage Prediction of Traffic Lights Using Machine Learning
Authors
Kevin Heckmann
Lena Elisa Schneegans
Robert Hoyer
Copyright Year
2023
Book
Towards the New Normal in Mobility

Print ISBN: 978-3-658-39437-0

Electronic ISBN: 978-3-658-39438-7

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-3-658-39438-7_36

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