Show simple item record

dc.contributor.authorAsif, Muhammad Tayyab
dc.contributor.authorKannan, Srinivasan
dc.contributor.authorDauwels, Justin H. G.
dc.contributor.authorJaillet, Patrick
dc.date.accessioned2014-05-09T13:29:29Z
dc.date.available2014-05-09T13:29:29Z
dc.date.issued2013-04
dc.identifier.isbn978-1-4673-5913-9
dc.identifier.urihttp://hdl.handle.net/1721.1/86889
dc.description.abstractWith the development of inexpensive sensors such as GPS probes, Data Driven Intelligent Transport Systems (D[superscript 2]ITS) can acquire traffic data with high spatial and temporal resolution. The large amount of collected information can help improve the performance of ITS applications like traffic management and prediction. The huge volume of data, however, puts serious strain on the resources of these systems. Traffic networks exhibit strong spatial and temporal relationships. We propose to exploit these relationships to find low-dimensional representations of large urban networks for data compression. In this paper, we study different techniques for compressing traffic data, obtained from large urban road networks. We use Discrete Cosine Transform (DCT) and Principal Component Analysis (PCA) for 2-way network representation and Tensor Decomposition for 3-way network representation. We apply these techniques to find low-dimensional structures of large networks, and use these low-dimensional structures for data compression.en_US
dc.description.sponsorshipSingapore-MIT Alliance for Research and Technology (Center for Future Mobility)en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/CIVTS.2013.6612288en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleData compression techniques for urban traffic dataen_US
dc.typeArticleen_US
dc.identifier.citationAsif, Muhammad Tayyab, Srinivasan Kannan, Justin Dauwels, and Patrick Jaillet. “Data Compression Techniques for Urban Traffic Data.” 2013 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS) (n.d.).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Information and Decision Systemsen_US
dc.contributor.mitauthorJaillet, Patricken_US
dc.relation.journalProceedings of the 2013 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsAsif, Muhammad Tayyab; Kannan, Srinivasan; Dauwels, Justin; Jaillet, Patricken_US
dc.identifier.orcidhttps://orcid.org/0000-0002-8585-6566
mit.licenseOPEN_ACCESS_POLICYen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record