Frequency Enhanced Dynamic Graph Convolutional Networks for Traffic Flow Forecasting

Frequency Enhanced Dynamic Graph Convolutional Networks for Traffic Flow Forecasting

With rapid urbanization and technological advancements, increasing population density has posed significant challenges for urban traffic management. Traffic flow forecasting is essential for optimizing traffic signals, regulating traffic flow, and improving overall transportation efficiency. Recent...

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Bibliographic Details
Main Authors:	Liyuan Wang, Jiafeng Zhuang, Shuo Ma, Hai Lin
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Series:	IEEE Access
Subjects:	Traffic flow forecasting deep learning spatiotemporal modeling graph convolutional networks
Online Access:	https://ieeexplore.ieee.org/document/11036171/
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