HEAL DSpace

Traffic and mobility data collection for real-time applications

Αποθετήριο DSpace/Manakin

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dc.contributor.author Lopes, J en
dc.contributor.author Bento, J en
dc.contributor.author Huang, E en
dc.contributor.author Antoniou, C en
dc.contributor.author Ben-Akiva, M en
dc.date.accessioned 2014-03-01T02:52:32Z
dc.date.available 2014-03-01T02:52:32Z
dc.date.issued 2010 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/35911
dc.subject Case Study en
dc.subject Data Acquisition en
dc.subject Data Collection en
dc.subject Data Preprocessing en
dc.subject Data Transformation en
dc.subject Information System en
dc.subject Real Time Application en
dc.subject Real Time Data en
dc.subject Real-time Traffic en
dc.subject Traffic Management en
dc.subject Data Fusion en
dc.subject Real Time en
dc.title Traffic and mobility data collection for real-time applications en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ITSC.2010.5625282 en
heal.identifier.secondary http://dx.doi.org/10.1109/ITSC.2010.5625282 en
heal.publicationDate 2010 en
heal.abstract Successful development of effective real-time traffic management and information systems requires high quality traffic information in real-time. This paper presents the state-of-the-art of traffic and general mobility sensory technology and a suite of methods for data pre-processing and cleaning for real-time applications. We propose a suite of methods and techniques to be applied from traffic data acquisition, preprocessing, transformation and en
heal.journalName International Conference on Intelligent Transportation en
dc.identifier.doi 10.1109/ITSC.2010.5625282 en


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