Unidirectional and Bidirectional LSTM Models for Short-Term Traffic Prediction

Unidirectional and Bidirectional LSTM Models for Short-Term Traffic Prediction

This paper presents the development and evaluation of short-term traffic prediction models using unidirectional and bidirectional deep learning long short-term memory (LSTM) neural networks. The unidirectional LSTM (Uni-LSTM) model provides high performance through its ability to recognize longer se...

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Bibliographic Details
Main Authors:	Rusul L. Abduljabbar, Hussein Dia, Pei-Wei Tsai
Format:	Article
Language:	English
Published:	Hindawi-Wiley 2021-01-01
Series:	Journal of Advanced Transportation
Online Access:	http://dx.doi.org/10.1155/2021/5589075

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