Spatial and Temporal Patterns in Large-Scale Traffic Speed Prediction

Spatial and Temporal Patterns in Large-Scale Traffic Speed Prediction

The ability to accurately predict traffic speed in a large and heterogeneous road network has many useful applications, such as route guidance and congestion avoidance. In principle, data-driven methods, such as support vector regression (SVR), can predict traffic with high accuracy because traffic...

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Bibliographic Details
Main Authors: Asif, Muhammad Tayyab, Dauwels, Justin, Oran, Ali, Fathi, Esmail, Dhanya, Menoth Mohan, Mitrovic, Nikola, Jaillet, Patrick, Goh, Chong Yang, Xu, Muye
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) 2015
Online Access:http://hdl.handle.net/1721.1/100436
https://orcid.org/0000-0003-0064-6568
https://orcid.org/0000-0002-8585-6566

Internet

http://hdl.handle.net/1721.1/100436
https://orcid.org/0000-0003-0064-6568
https://orcid.org/0000-0002-8585-6566

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