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dc.contributor.authorPassow, Benjamin N.en
dc.contributor.authorEdwards, Clareen
dc.contributor.authorElizondo, Daviden
dc.contributor.authorGoodyer, E. N.en
dc.contributor.authorLeigh, Roland Jamesen
dc.contributor.authorWells, Alanen
dc.date.accessioned2013-11-06T09:39:00Z
dc.date.available2013-11-06T09:39:00Z
dc.date.issued2013
dc.identifier.citationPassow, B. N., Edwards, C., Elizondo, D., Goodyer, E., Leigh, R. J. and Wells, A. A. (2013) Computational Intelligence to Improve Air Quality and Traffic Management. In: Space and ICT Applications supporting Smart, Green, Integrated Transport and Urban Mobility. "100 EUrban solutions” Exhibition, Brussels, Belgium, 8th Oct. 2013.en
dc.identifier.urihttp://hdl.handle.net/2086/9313
dc.description.abstractComputational Intelligence (CI) techniques are strong and efficient and capable of enhancing current traffic and air quality management systems.en
dc.publisherTHE ISSUE / NEREUSen
dc.subjectComputational Intelligenceen
dc.subjectAir Qualityen
dc.subjectTraffic Managementen
dc.titleComputational Intelligence to Improve Air Quality and Traffic Managementen
dc.typeConferenceen
dc.researchgroupDIGITSen
dc.researchgroupCentre for Computational Intelligence
dc.peerreviewedYesen
dc.funder-en
dc.projectid-en
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en


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