ECOGEM: A European framework-7 project

Jiang, J; Charles, J; Demestichas, K

dc.contributor.author	Jiang, J	en
dc.contributor.author	Charles, J	en
dc.contributor.author	Demestichas, K	en
dc.date.accessioned	2014-03-01T01:35:32Z
dc.date.available	2014-03-01T01:35:32Z
dc.date.issued	2011	en
dc.identifier.issn	1556-6072	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/21108
dc.subject.other	Advanced driver assistance systems	en
dc.subject.other	Automatic Generation	en
dc.subject.other	Automatic-learning	en
dc.subject.other	Communication technologies	en
dc.subject.other	Experience sharing	en
dc.subject.other	Intelligent optimization	en
dc.subject.other	Machine learning techniques	en
dc.subject.other	Machine-learning	en
dc.subject.other	Optimization process	en
dc.subject.other	Route planning	en
dc.subject.other	Automobile drivers	en
dc.subject.other	Electric vehicles	en
dc.subject.other	Energy utilization	en
dc.subject.other	Optimization	en
dc.subject.other	Automatic programming	en
dc.title	ECOGEM: A European framework-7 project	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/MVT.2011.941900	en
heal.identifier.secondary	http://dx.doi.org/10.1109/MVT.2011.941900	en
heal.identifier.secondary	6004768	en
heal.language	English	en
heal.publicationDate	2011	en
heal.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 sharing to intelligently optimize route planning and energy consumption, and 3) automatic and instant update of the route planning and optimization process via ongoing experience shared by other EcoGem-enabled FEVs. © 2011 IEEE.	en
heal.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC	en
heal.journalName	IEEE Vehicular Technology Magazine	en
dc.identifier.doi	10.1109/MVT.2011.941900	en
dc.identifier.isi	ISI:000294547600006	en
dc.identifier.volume	6	en
dc.identifier.issue	3	en
dc.identifier.spage	22	en
dc.identifier.epage	26	en