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Accurate real-time traffic forecasting is a core technological problem against the implementation of the intelligent transportation system.
ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES
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Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework
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Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio · 2014
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Short-term prediction of traffic flow using a binary neural network
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Forecasting road traffic speeds by considering area-wide spatio-temporal dependencies based on a graph convolutional neural network (gcn)
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