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Increasing Energy-Efficient Driving Using Uncertain Online Data of Local Traffic Management Centers

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Automotive Systems Engineering II
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Abstract

The main goals of today’s research and development are leading to different systems and topics for more energy-efficient technologies in powertrains and intelligent driver assistance systems. The funded project “Energieeffizientes Fahren 2014” (EFA 2014/2) aims for increasing the electric vehicles’ operation range. In order to reach this goal an approach has been chosen which includes infrastructure data using Vehicle-to-Infrastructure (V2I) communication technologies. Particularly traffic actuated traffic lights are being utilized since this is state of the art to optimize traffic flow. Based on the interaction between vehicle and infrastructure the driver will be able to achieve an energy-efficient manner of driving through additional information and integrated board aggregation. This approach has been successfully tested in Dresden.

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Acknowledgments

This article is based on the results of the project EFA 201/2, which was funded by the Federal Ministry of Education and Research. The author would like to thank the colleagues Mario Krumnow, Robert Richter and Torsten Schubert, who have contributed to the project.

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Correspondence to Per Lewerenz .

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Lewerenz, P., Prokop, G. (2018). Increasing Energy-Efficient Driving Using Uncertain Online Data of Local Traffic Management Centers. In: Winner, H., Prokop, G., Maurer, M. (eds) Automotive Systems Engineering II. Springer, Cham. https://doi.org/10.1007/978-3-319-61607-0_3

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  • DOI: https://doi.org/10.1007/978-3-319-61607-0_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61605-6

  • Online ISBN: 978-3-319-61607-0

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