Multivariate machine learning-based prediction models of freeway traffic flow under non-recurrent events

Multivariate machine learning-based prediction models of freeway traffic flow under non-recurrent events

This paper concerns multivariate machine learning-based prediction models of freeway traffic flow under non-recurrent events. Five model architectures based on the multi-layer perceptron (MLP), convolutional neural network (CNN), long short-term memory (LSTM), CNN-LSTM and Autoencoder LSTM networks...

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Bibliographic Details
Main Authors: Aljuaydi, Fahad, Wiwatanapataphee, Benchawan, Wu, Yong
Format: Journal Article
Language:English
Published: ELSEVIER 2023
Subjects:
Science & Technology
Technology
Engineering, Multidisciplinary
Engineering
Non-recurrent events
Traffic prediction
Multivariate model
Machine Learning
LSTM
Online Access:http://purl.org/au-research/grants/arc/LP170100341
http://hdl.handle.net/20.500.11937/96005

Internet

http://purl.org/au-research/grants/arc/LP170100341
http://hdl.handle.net/20.500.11937/96005

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