Survey of neural network‐based models for short‐term traffic state prediction

Traffic state prediction is a key component in intelligent transport systems (ITS) and has attracted much attention over the last few decades. Advances in computational power and availability of a large amount of data have paved the way to employ advanced neural network (NN) models for ITS, includin...

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Veröffentlicht in:	Wiley interdisciplinary reviews. Data mining and knowledge discovery 2019-01, Vol.9 (1), p.e1285-n/a
Hauptverfasser:	Do, Loan N. N., Taherifar, Neda, Vu, Hai L.
Format:	Artikel
Sprache:	eng
Schlagworte:	deep learning Intelligent transportation systems Machine learning Neural networks traffic flow forecasting traffic flow prediction traffic state forecasting traffic state prediction Traffic surveys Transportation networks
Online-Zugang:	Volltext
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