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2016 | OriginalPaper | Chapter

A Green Light Optimal Speed Advisor for Reduced CO2 Emissions

Authors: B. Bradaï, A. Garnault, V. Picron, P. Gougeon

Published in: Energy Consumption and Autonomous Driving

Publisher: Springer International Publishing

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Abstract

Automotive industry is facing challenges to reduce CO2 emissions. A promising approach consists in anticipating the road profile and the upcoming dynamic events like traffic lights. V2X technologies enable this anticipation and allow CO2 emission reduction as well as traffic flow improvement. This topic has been addressed in the framework of the French public funded project Co-Drive, with the use of traffic lights data broadcasted to vehicles. One of the developed functions by Valeo within the Co-Drive project is a Green Light Optimal Speed Advisory (GLOSA) system. This system coaches the driver to adapt his vehicle speed in order to safely pass the next traffic lights during the green phase. It allows reducing stop times and unnecessary accelerations in urban traffic situations and therefore saving fuel and reducing CO2 emissions. Indeed, state-of-the-art studies showed the great potential of GLOSA systems in terms of CO2 emission reduction and traffic flow improvement with different approaches. Here we present a description of the GLOSA system that has been implemented on a Valeo demonstration car. It has been tested with promising results and got very positive feedbacks from customers and public authorities. Next developments of V2X communication like green phase for emergency vehicle approaching, traffic light violation signal, or adaptive routing will allow further improvements in CO2 emission reduction, safety and comfort.
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Metadata
Title
A Green Light Optimal Speed Advisor for Reduced CO2 Emissions
Authors
B. Bradaï
A. Garnault
V. Picron
P. Gougeon
Copyright Year
2016
DOI
https://doi.org/10.1007/978-3-319-19818-7_15

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