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, Mitrovic, Nikola, Garg, Lalit, Dauwels, Justin H. G., Jaillet, Patrick
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2014
Online Access:http://hdl.handle.net/1721.1/86891
https://orcid.org/0000-0002-8585-6566

Internet

http://hdl.handle.net/1721.1/86891
https://orcid.org/0000-0002-8585-6566

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