DocumentCode :
1309364
Title :
ECOGEM: A European Framework-7 Project
Author :
Jiang, Jianmin ; Charles, James ; Demestichas, Konstantinos
Volume :
6
Issue :
3
fYear :
2011
Firstpage :
22
Lastpage :
26
Abstract :
In this article, we describe a new European Framework 7-funded research project, EcoGem, and introduce a new concept of experience sharing and intelligent optimization of route planning via machine-learning approaches. EcoGem combines machine-learning techniques with communication technologies to produce an advanced driver assistance system (ADAS), which has a range of novel functionalities, including: 1) automatic generation of code-based traffic indication to allow other EcoGem-enabled fully electric vehicles (FEVs) to share the experience for every section of route (journey) traveled, 2) automatic learning from the past and online experience to intelligently optimize route planning and energy consumption, and 3) automatic and instant update of the route planning and optimisation process via ongoing experience shared by EcoGem-eneabled FEVs.
Keywords :
driver information systems; electric vehicles; learning (artificial intelligence); optimisation; power engineering computing; EcoGem-enabled fully electric vehicles; EcoGem-eneabled FEV; European framework-7 project; advanced driver assistance system; code-based traffic indication; communication technology; energy consumption; machine-learning techniques; route planning intelligent optimization; Artificial intelligence; Machine learning; Optimization; Product development; Research and development;
fLanguage :
English
Journal_Title :
Vehicular Technology Magazine, IEEE
Publisher :
ieee
ISSN :
1556-6072
Type :
jour
DOI :
10.1109/MVT.2011.941900
Filename :
6004768
Link To Document :
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