Computational Intelligence to Improve Air Quality and Traffic Management

dc.contributor.author	Passow, Benjamin N.	en
dc.contributor.author	Edwards, Clare	en
dc.contributor.author	Elizondo, David	en
dc.contributor.author	Goodyer, E. N.	en
dc.contributor.author	Leigh, Roland James	en
dc.contributor.author	Wells, Alan	en
dc.date.accessioned	2013-11-06T09:39:00Z
dc.date.available	2013-11-06T09:39:00Z
dc.date.issued	2013
dc.identifier.citation	Passow, 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.uri	http://hdl.handle.net/2086/9313
dc.description.abstract	Computational Intelligence (CI) techniques are strong and efficient and capable of enhancing current traffic and air quality management systems.	en
dc.publisher	THE ISSUE / NEREUS	en
dc.subject	Computational Intelligence	en
dc.subject	Air Quality	en
dc.subject	Traffic Management	en
dc.title	Computational Intelligence to Improve Air Quality and Traffic Management	en
dc.type	Conference	en
dc.researchgroup	DIGITS	en
dc.researchgroup	Centre for Computational Intelligence
dc.peerreviewed	Yes	en
dc.funder	-	en
dc.projectid	-	en
dc.researchinstitute	Institute of Artificial Intelligence (IAI)	en