Multi dynamic temporal representation graph convolutional network for traffic flow prediction

Multi dynamic temporal representation graph convolutional network for traffic flow prediction

Abstract Traffic flow prediction is fundamental to the dynamic control and application of Intelligent Transportation Systems (ITS), which play a crucial role in alleviating road congestion. However, existing approaches have not fully exploited the inherent dynamic and multifaceted spatiotemporal fea...

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Bibliographic Details
Main Authors:	Zuojun Wu, Xiaojun Liu, Xiaoling Zhang
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-05-01
Series:	Scientific Reports
Subjects:	Traffic flow prediction Graph convolutional networks Graph construction Spatiotemporal characteristics
Online Access:	https://doi.org/10.1038/s41598-025-01157-1
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