Bayesian Support Vector Regression for traffic speed prediction with error bars
Traffic prediction algorithms can help improve the performance of Intelligent Transportation Systems (ITS). To this end, ITS require algorithms with high prediction accuracy. For more robust performance, the traffic systems also require a measure of uncertainty associated with prediction data. Data...
Main Authors: | Gopi, Gaurav, Dauwels, Justin H. G., Asif, Muhammad Tayyab, Ashwin, Sridhar, Mitrovic, Nikola, Rasheed, Umer, 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/1721.1/86893 https://orcid.org/0000-0002-8585-6566 |
Similar Items
-
Bayesian support vector regression for speed prediction with error bars
by: Gopi Gaurav
Published: (2015) -
CUR decomposition for compression and compressed sensing of large-scale traffic data
by: Mitrovic, Nikola, et al.
Published: (2014) -
Low-Dimensional Models for Compressed Sensing and Prediction of Large-Scale Traffic Data
by: Mitrovic, Nikola, et al.
Published: (2016) -
Low-Dimensional Models for Compressed Sensing and Prediction of Large-Scale Traffic Data
by: Mitrovic, Nikola, et al.
Published: (2016) -
Near-Lossless Compression for Large Traffic Networks
by: Muhammad Tayyab Asif, et al.
Published: (2016)