An AutoEncoder and LSTM-Based Traffic Flow Prediction Method

An AutoEncoder and LSTM-Based Traffic Flow Prediction Method

Smart cities can effectively improve the quality of urban life. Intelligent Transportation System (ITS) is an important part of smart cities. The accurate and real-time prediction of traffic flow plays an important role in ITSs. To improve the prediction accuracy, we propose a novel traffic flow pre...

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Bibliographic Details
Main Authors:	Wangyang Wei, Honghai Wu, Huadong Ma
Format:	Article
Language:	English
Published:	MDPI AG 2019-07-01
Series:	Sensors
Subjects:	AutoEncoder long short-term memory traffic flow prediction
Online Access:	https://www.mdpi.com/1424-8220/19/13/2946

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