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 (Author), Dauwels, Justin (Author), Oran, Ali (Author), Fathi, Esmail (Author), Dhanya, Menoth Mohan (Author), Mitrovic, Nikola (Author), Jaillet, Patrick (Contributor), Goh, Chong Yang (Contributor), Xu, Muye (Author)
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), Massachusetts Institute of Technology. Operations Research Center (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2015-12-18T16:14:40Z.
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