dc.contributor.authorAsif, Muhammad Tayyab
dc.date.accessioned2016-02-15T02:59:33Z
dc.date.available2016-02-15T02:59:33Z
dc.date.issued2016-02-15
dc.identifier.citationAsif, M. T. (2016). Compression, estimation and prediction models for large road networks. Doctoral thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/65985
dc.description.abstractDeveloping models for large road networks is not a trivial task. We propose data driven models that can help intelligent transportation systems (ITS) in dealing with issues such as managing large amount of traffic information and incomplete data sets. Furthermore, we also discuss the problem of traffic prediction in the context of large-scale networks.en_US
dc.format.extent152 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineeringen_US
dc.titleCompression, estimation and prediction models for large road networksen_US
dc.typeThesis
dc.contributor.supervisorJustin Dauwelsen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeDOCTOR OF PHILOSOPHY (EEE)en_US


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