Predicting traffic speed in urban transportation subnetworks for multiple horizons

Predicting traffic speed in urban transportation subnetworks for multiple horizons

Traffic forecasting is increasingly taking on an important role in many intelligent transportation systems (ITS) applications. However, prediction is typically performed for individual road segments and prediction horizons. In this study, we focus on the problem of collective prediction for multiple...

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Bibliographic Details
Main Authors: Dauwels, Justin (Author), Aslam, Aamer (Author), Asif, Muhammad Tayyab (Author), Zhao, Xinyue (Author), Vie, Nikola Mitro (Author), Cichocki, Andrzej (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), 2015-12-21T17:17:06Z.
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