Low-dimensional models for missing data imputation in road networks

Low-dimensional models for missing data imputation in road networks

Intelligent transport systems (ITS) require data with high spatial and temporal resolution for applications such as modeling, traffic management, prediction and route guidance. However, field data is usually quite sparse. This problem of missing data severely limits the effectiveness of ITS. Missing...

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Bibliographic Details
Main Authors: Asif, Muhammad Tayyab (Author), Mitrovic, Nikola (Author), Garg, Lalit (Author), Dauwels, Justin H. G. (Author), Jaillet, Patrick (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2014-05-09T13:45:48Z.
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