Abstract

The emergence of Fully Electric Vehicles has sparkled visions of pollution- and noise free cities. However, towards this challenging end, a lot has yet to be accomplished. One of the first priorities should be placed on improving the reliability and energy efficiency of the fully electric vehicles. This paper presents a new Advanced Driver Assistance System that has been implemented, which automatically helps the driver to save more energy while on-trip, by choosing the most energy efficient routes and by providing recommendations whenever necessary. This advanced functionality is based on the collection and exploitation of experiences - through machine learning.


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1007/978-3-642-29673-4_18
https://rd.springer.com/chapter/10.1007/978-3-642-29673-4_18,
https://academic.microsoft.com/#/detail/2176225996
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Document information

Published on 31/12/11
Accepted on 31/12/11
Submitted on 31/12/11

Volume 2012, 2012
DOI: 10.1007/978-3-642-29673-4_18
Licence: CC BY-NC-SA license

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