Short-Term Highway Traffic Flow Prediction via Wavelet–Liquid Neural Network Model

Short-Term Highway Traffic Flow Prediction via Wavelet–Liquid Neural Network Model

Accurate, efficient, and reliable traffic flow prediction is pivotal for highway operation and management. However, traffic flow series present nonlinear, heterogeneous, and stochastic characteristics, posing significant challenges to precise prediction. To address this issue, this paper proposes a...

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Bibliographic Details
Main Authors: Yongjun Wu, Hongyun Kang, Weipin Wang, Shuli Zhao, Xuening He, Jingyao Chen
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Modelling
Subjects:
traffic flow prediction
wavelet decomposition
liquid neural network
intelligent transportation systems
Online Access:https://www.mdpi.com/2673-3951/6/2/39
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