Multi-factor embedding GNN-based traffic flow prediction considering intersection similarity

Existing studies on traffic flow prediction primarily rely on on-board devices to collect vehicle trajectory data, which can potentially infringe upon the privacy of users and limit the applicability of the method. Additionally, traffic flow prediction remains challenging due to the complex spatial...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 620; s. 129193
Hlavní autori:	Zhong, Ruirui, Hu, Bingtao, Wang, Fei, Feng, Yixiong, Li, Zhiwu, Song, Xiuju, Wang, Yong, Lou, Shanhe, Tan, Jianrong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.03.2025
Predmet:	Graph neural network Multi-factor Representation learning Spatio-temporal modeling Traffic flow prediction Representation learning Traffic flow prediction Multi-factor Graph neural network Spatio-temporal modeling
ISSN:	0925-2312
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