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 |