HEAL DSpace

Traffic mining in a road-network: How does the traffic flow?

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dc.contributor.author Ntoutsi, I en
dc.contributor.author Mitsou, N en
dc.contributor.author Marketos, G en
dc.date.accessioned 2014-03-01T01:57:17Z
dc.date.available 2014-03-01T01:57:17Z
dc.date.issued 2008 en
dc.identifier.issn 17438187 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/28390
dc.subject Data mining en
dc.subject Traffic flow en
dc.subject Traffic mining en
dc.subject Traffic relationships en
dc.title Traffic mining in a road-network: How does the traffic flow? en
heal.type journalArticle en
heal.identifier.primary 10.1504/IJBIDM.2008.017977 en
heal.identifier.secondary http://dx.doi.org/10.1504/IJBIDM.2008.017977 en
heal.publicationDate 2008 en
heal.abstract The flow of data coming from modern sensing devices enables the development of novel research techniques related to data management and knowledge extraction. In this work, we undertake the problem of analysing traffic in a road network so as to help the city authorities to optimise traffic flow. A graph based modelling of the network traffic is presented which provides insights on the flow of movements within the network. We exploit this graph in order to analyse the traffic flow in the network and to discover traffic relationships like propagation, split and merge of traffic among the road segments. First experimental results illustrate the applicability and usefulness of our approach. © 2008, Inderscience Publishers. en
heal.journalName International Journal of Business Intelligence and Data Mining en
dc.identifier.doi 10.1504/IJBIDM.2008.017977 en
dc.identifier.volume 3 en
dc.identifier.issue 1 en
dc.identifier.spage 82 en
dc.identifier.epage 98 en


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