Advertisement
Published in:
2018 | OriginalPaper | Chapter
3. Increasing Energy-Efficient Driving Using Uncertain Online Data of Local Traffic Management Centers
Authors : Per Lewerenz, Günther Prokop
Published in: Automotive Systems Engineering II
Publisher: Springer International Publishing
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
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.