Short-Term Prediction of City Traffic Flow via Convolutional Deep Learning
Author:
Affiliation:
1. Department of Information Engineering, Distributed Systems and Internet Technologies Laboratory, University of Florence, Florence, Italy
Funder
Ministero dell?Istruzione, dell?Universit? e della Ricerca
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09930774.pdf?arnumber=9930774
Reference64 articles.
1. Unidirectional and Bidirectional LSTM Models for Short-Term Traffic Prediction
2. Improving Road Traffic Forecasting Using Air Pollution and Atmospheric Data: Experiments Based on LSTM Recurrent Neural Networks
3. T-LSTM: A Long Short-Term Memory Neural Network Enhanced by Temporal Information for Traffic Flow Prediction
4. Learning representations by back-propagating errors;rumelhart;Nature,1986
5. Support vector regression machines;drucker;Proc Adv Neural Inf Process Syst,1996
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