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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Hlavní autoři:	Liyuan Wang, Jiafeng Zhuang, Shuo Ma, Hai Lin
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Access
Témata:	Traffic flow forecasting deep learning spatiotemporal modeling graph convolutional networks
On-line přístup:	https://ieeexplore.ieee.org/document/11036171/
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