Deep learning for short-term traffic flow prediction

• Published in: Transportation research. Part C, Emerging technologies Vol. 79; pp. 1 - 17
• Main Authors: Polson, Nicholas G., Sokolov, Vadim O.
• Format: Journal Article
• Language: English
• Published: Elsevier India Pvt Ltd 01.06.2017
• Subjects: Deep Learning; Sparse linear models; Traffic Flows; Trend filtering; Trend filtering; Sparse linear models; Deep Learning; Traffic Flows
• ISSN: 0968-090X; 1879-2359
• DOI: 10.1016/j.trc.2017.02.024

•A deep learning architecture that captures nonlinear spatio-temporal flow effects.•Traffic predictions during special events, a Chicago Bears football game and a snowstorm•Our approacch outperforms linear and one-layer neural network models. We develop a deep learning model to predict traffic flows...