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Hybrid deep learning model with VMD-BiLSTM-GRU networks for short-term traffic flow prediction

Changxi Ma Yanming Hu Xuecai Xu

数据科学与管理（英文）2025，Vol.8Issue(3)：257-269,13.

数据科学与管理（英文）2025，Vol.8Issue(3)：257-269,13.DOI:10.1016/j.dsm.2024.10.004

Hybrid deep learning model with VMD-BiLSTM-GRU networks for short-term traffic flow prediction

Changxi Ma ¹Yanming Hu ¹Xuecai Xu²

作者信息

1. School of Traffic and Transportation,Lanzhou Jiaotong University,Lanzhou,730070,China
2. School of Civil and Hydraulic Engineering,Huazhong University of Science and Technology,Wuhan,430074,China
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摘要

关键词

Deep learning/Traffic flow prediction/Variational mode decomposition/Bi-directional long short-term memory net-works/Gated recurrent units

Key words

Deep learning/Traffic flow prediction/Variational mode decomposition/Bi-directional long short-term memory net-works/Gated recurrent units

引用本文复制引用

Changxi Ma,Yanming Hu,Xuecai Xu..Hybrid deep learning model with VMD-BiLSTM-GRU networks for short-term traffic flow prediction[J].数据科学与管理（英文）,2025,8(3):257-269,13.

基金项目

This research was supported by the Enterprise Innovation Consortium Project under the Major Special Science and Technology Project of Gansu Province(Grant No.22ZD6GA010). （Grant No.22ZD6GA010）

数据科学与管理（英文）

ISSN：2666-7649

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