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dc.contributor.authorSmit, Robinen_US
dc.contributor.authorMcBroom, Jamesen_US
dc.contributor.editorARRBen_US
dc.date.accessioned2017-05-03T14:27:04Z
dc.date.available2017-05-03T14:27:04Z
dc.date.issued2010en_US
dc.date.modified2013-07-17T22:24:17Z
dc.identifier.refurihttp://www.conferenceworks.net.au/arrb/arrb/indexen_US
dc.identifier.urihttp://hdl.handle.net/10072/40792
dc.description.abstractThis paper discusses the development and application of a new high resolution traffic emissions and fuel consumption model. The model is needed to adequately address increasingly complex policy and research questions. Over recent years, a large body of test data has become available in Australia, which amounts to hundreds of hours of second-by-second emissions and driving behaviour data for relevant vehicle classes. The data were measured using real-world driving cycles that were developed from Australian on-road driving data. This large amount of data inspired the development of a new hybrid model with a number of innovative aspects. The model uses (new) model variables that reflect vehicle and driving aspects known to influence vehicle emissions (e.g. speed fluctuation, delta power, power oscillation) and employs a statistical approach to find the best empirical relationships. The algorithms are designed to combine an engineering and a statistical approach. This paper will discuss that the information generated by the model can be used in various ways, for instance to develop an emission inventory, to analyse the impacts of particular traffic management measures (e.g. dynamic speed limits, traffic signal coordination, metering signals). In this paper we will demonstrate this by examining the effects of congestion on emissions and fuel consumption.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.format.extent371505 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherARRB Groupen_US
dc.publisher.placeVermont South, VICen_US
dc.publisher.urihttp://www.conferenceworks.net.au/arrb/arrb/indexen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofconferencename24th ARRB Conferenceen_US
dc.relation.ispartofconferencetitleProceedings of the 24th ARRB Conference : Building on 50 years of road and transport researchen_US
dc.relation.ispartofdatefrom2010-10-12en_US
dc.relation.ispartofdateto2010-10-15en_US
dc.relation.ispartoflocationMelbourne, Australiaen_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchApplied Statisticsen_US
dc.subject.fieldofresearchEnvironmental Science and Management not elsewhere classifieden_US
dc.subject.fieldofresearchcode010401en_US
dc.subject.fieldofresearchcode050299en_US
dc.titleApplication of a New Hybrid Traffic Emissions Tool with a High Resolution in Time and Space: Impacts of Congestionen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.rights.copyrightCopyright 2010 ARRB Group and Authors. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version.en_US
gro.date.issued2010
gro.hasfulltextFull Text


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    Contains papers delivered by Griffith authors at national and international conferences.

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