Improved Long Short-Term Memory-Based Periodic Traffic Volume Prediction Method

Improved Long Short-Term Memory-Based Periodic Traffic Volume Prediction Method

In response to the problem of fixed time intervals for short-term traffic flow prediction, which fails to meet the requirements of traffic signal control based on traffic cycle signals, this paper proposes an improved long short-term memory-based method for periodic traffic volume prediction. The me...

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Bibliographic Details
Main Authors: Yuguang Chen, Jincheng Guo, Hongbin Xu, Jintao Huang, Linyong Su
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Traffic flow prediction
cycle queue length
cycle traffic volume
improved long short-term memory (iLSTM)
improved bidirectional long short-term memory (iBiLSTM)
deep learning
Online Access:https://ieeexplore.ieee.org/document/10217797/

Internet

https://ieeexplore.ieee.org/document/10217797/

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