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dc.contributor.advisorCahill, Vinny
dc.contributor.authorMarinescu, Dan
dc.date.accessioned2017-06-01T14:37:16Z
dc.date.available2017-06-01T14:37:16Z
dc.date.issued2014
dc.identifier.citationDan Marinescu, 'A slot-based approach to optimise freeway traffic using Intelligent Vehicles', [thesis], Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2014, pp 185
dc.identifier.otherTHESIS 10442
dc.identifier.urihttp://hdl.handle.net/2262/80318
dc.description.abstractOver the last decades, the increase in demand for road transportation has traditionally been matched by an expansion of the road network to prevent or reduce traffic congestion. This approach is unsustainable in the long term. A sustainable solution requires more efficient use of the existing road network by deploying so-called Intelligent Transportation Systems (ITS). Present day ITS implementations are generally responsible for controlling road access, incident detection and mitigation, predicting traffic conditions and providing route guidance, with the vast majority of these systems being deployed as part of the road infrastructure.
dc.format1 volume
dc.language.isoen
dc.publisherTrinity College (Dublin, Ireland). School of Computer Science & Statistics
dc.relation.isversionofhttp://stella.catalogue.tcd.ie/iii/encore/record/C__Rb15986706
dc.subjectComputer Science, Ph.D.
dc.subjectPh.D. Trinity College Dublin
dc.titleA slot-based approach to optimise freeway traffic using Intelligent Vehicles
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 185
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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