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The impact of driving styles on fuel consumption: a data-warehouse-and-data-mining-based discovery process

2015-10Journal article Restricted access
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dc.contributor.authorFerreira, João Carlos
dc.contributor.authorAlmeida, José de
dc.contributor.authorSilva, Alberto Rodrigues da
dc.date.accessioned2016-02-26T11:21:51Z
dc.date.available2016-02-26T11:21:51Z
dc.date.issued2015-10
dc.description.abstractThis paper discusses the results of applied research on the eco-driving domain based on a huge data set produced from a fleet of Lisbon's public transportation buses for a three-year period. This data set is based on events automatically extracted from the control area network bus and enriched with GPS coordinates, weather conditions, and road information. We apply online analytical processing (OLAP) and knowledge discovery (KD) techniques to deal with the high volume of this data set and to determine the major factors that influence the average fuel consumption, and then classify the drivers involved according to their driving efficiency. Consequently, we identify the most appropriate driving practices and styles. Our findings show that introducing simple practices, such as optimal clutch, engine rotation, and engine running in idle, can reduce fuel consumption on average from 3 to 5l/100 km, meaning a saving of 30 l per bus on one day. These findings have been strongly considered in the drivers' training sessions.pt_PT
dc.identifier.citationFERREIRA, João Carlos; ALMEIDA, José de; SILVA, Alberto Rodrigues da - The impact of driving styles on fuel consumption: a data-warehouse-and-data-mining-based discovery process. IEEE Transactions on Intelligent Transportation Systems. ISSN. 1524-9050. Vol. 16. N.º 5 (2015), pp. 2653-2662pt_PT
dc.identifier.doi10.1109/TITS.2015.2414663pt_PT
dc.identifier.issn1524-9050
dc.identifier.issn1558-0016
dc.identifier.urihttp://hdl.handle.net/10400.21/5752
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEE-Institute Electrical Electronics Engineers INCpt_PT
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7089244pt_PT
dc.subjectDriver profilept_PT
dc.subjectEco-drivingpt_PT
dc.subjectFuel efficiencypt_PT
dc.subjectData warehousept_PT
dc.subjectKnowledge discovery (KD)pt_PT
dc.subjectPublic transportationpt_PT
dc.titleThe impact of driving styles on fuel consumption: a data-warehouse-and-data-mining-based discovery processpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage2662pt_PT
oaire.citation.issue5pt_PT
oaire.citation.startPage2653pt_PT
oaire.citation.volume16pt_PT
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT

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