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dc.contributor.advisorBasu, Biswajit
dc.contributor.authorGhosh, Bidisha
dc.date.accessioned2016-12-15T10:15:34Z
dc.date.available2016-12-15T10:15:34Z
dc.date.issued2007
dc.identifier.citationBidisha Ghosh, 'Application of time-series and wavelet analysis for traffic flow modelling and incident detection', [thesis], Trinity College (Dublin, Ireland). Department of Civil, Structural and Environmental Engineering, 2007, pp 188
dc.identifier.otherTHESIS 8184
dc.identifier.urihttp://hdl.handle.net/2262/78394
dc.description.abstractEfficient and sustainable use of existing transportation network has become a major issue in socio-economic growth of the developed parts of today’s world. Intelligent Transportation System (ITS) is an important tool to increase the sustainability and efficiency of an existing traffic management system. Implementation of ITS in an existing transport network requires the use of efficient short-term traffic condition (such as, traffic flow, density or speed) forecasting and incident detection algorithms. In the present study, univariate and multivariate traffic flow modelling and incident detection techniques applicable to ITS equipped urban traffic control (UTC) systems are proposed. The proposed models are validated at single or multiple junctions within the congested urban transport network at the city-centre of Dublin.
dc.format1 volume
dc.language.isoen
dc.publisherTrinity College (Dublin, Ireland). Department of Civil, Structural and Environmental Engineering
dc.relation.isversionofhttp://stella.catalogue.tcd.ie/iii/encore/record/C__Rb12942574
dc.subjectCivil Engineering, Ph.D.
dc.subjectPh.D. Trinity College Dublin
dc.titleApplication of time-series and wavelet analysis for traffic flow modelling and incident detection
dc.typethesis
dc.type.supercollectionthesis_dissertations
dc.type.supercollectionrefereed_publications
dc.type.qualificationlevelDoctoral
dc.type.qualificationnameDoctor of Philosophy (Ph.D.)
dc.rights.ecaccessrightsopenAccess
dc.format.extentpaginationpp 188
dc.description.noteTARA (Trinity’s Access to Research Archive) has a robust takedown policy. Please contact us if you have any concerns: rssadmin@tcd.ie


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