dc.contributor.author | Smit, Robin | |
dc.contributor.author | McBroom, James | |
dc.date.accessioned | 2017-05-03T13:49:50Z | |
dc.date.available | 2017-05-03T13:49:50Z | |
dc.date.issued | 2009 | |
dc.date.modified | 2010-10-20T07:00:54Z | |
dc.identifier.issn | 1037-5783 | |
dc.identifier.uri | http://hdl.handle.net/10072/30740 | |
dc.description.abstract | Microscopic traffic simulation models (MSMs) such as AIMSUN, VISSIM and PARAMICS have internal traffic emission prediction capabilities. We have conducted a preliminary investigation and compared updated AIMSUN emission algorithms with measured emissions data on Australian light-duty petrol vehicles, which revealed large discrepancies. A large underestimation of emissions has been found, up to more than two orders of magnitude for individual microtrips and, on average, an underestimation of a factor of about 20 (NOx), 1.5 (HC), 4 (CO2, freeway) and an overestimation of a factor of about 1.3 (CO2, non-freeway). These differences were statistically significant at the 95% level for the majority of cases. We recommend further examination of these discrepancies including other MSMs and all relevant vehicle classes (e.g. diesel trucks) and recalibration of emission algorithms in MSMs using local test data that reflects Australian vehicle emissions and driving behaviour. | |
dc.description.peerreviewed | Yes | |
dc.description.publicationstatus | Yes | |
dc.format.extent | 247586 bytes | |
dc.format.mimetype | application/pdf | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | A R R B Group Ltd. | |
dc.publisher.place | Australia | |
dc.publisher.uri | https://www.arrb.com.au/ | |
dc.relation.ispartofstudentpublication | N | |
dc.relation.ispartofpagefrom | 49 | |
dc.relation.ispartofpageto | 54 | |
dc.relation.ispartofissue | 2 | |
dc.relation.ispartofjournal | Road & Transport Research | |
dc.relation.ispartofvolume | 18 | |
dc.rights.retention | Y | |
dc.subject.fieldofresearch | Other environmental sciences not elsewhere classified | |
dc.subject.fieldofresearch | Civil engineering | |
dc.subject.fieldofresearch | Transportation, logistics and supply chains | |
dc.subject.fieldofresearchcode | 419999 | |
dc.subject.fieldofresearchcode | 4005 | |
dc.subject.fieldofresearchcode | 3509 | |
dc.title | Use of Microscopic Simulation Models to Predict Traffic Emissions | |
dc.type | Journal article | |
dc.type.description | C1 - Articles | |
dc.type.code | C - Journal Articles | |
gro.rights.copyright | © 2009 ARRB Ltd. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version. | |
gro.date.issued | 2009 | |
gro.hasfulltext | Full Text | |
gro.griffith.author | McBroom, James | |