Urban Traffic Flow Prediction Using LSTM and GRU

For smart cities, the issue of how to solve traffic chaos has always attracted public attention. Many studies have proposed various solutions for traffic flow prediction, such as ARIMA, ANN, and SVM. With the breakthrough of deep learning technology, the evolutionary models of RNN, such as LSTM (Lon...

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Bibliographic Details
Main Authors: Hung-Chin Jang, Che-An Chen
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Engineering Proceedings
Subjects:
Online Access:https://www.mdpi.com/2673-4591/55/1/86