Hybrid LSTM Neural Network for Short-Term Traffic Flow Prediction

Hybrid LSTM Neural Network for Short-Term Traffic Flow Prediction

The existing short-term traffic flow prediction models fail to provide precise prediction results and consider the impact of different traffic conditions on the prediction results in an actual traffic network. To solve these problems, a hybrid Long Short–Term Memory (LSTM) neural network i...

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Bibliographic Details
Main Authors: Yuelei Xiao, Yang Yin
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Information
Subjects:
short-term traffic flow prediction
Recurrent Neural Network (RNN)
Long Short-Term Memory (LSTM)
hybrid LSTM
Online Access:http://www.mdpi.com/2078-2489/10/3/105

Internet

http://www.mdpi.com/2078-2489/10/3/105

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