Graph Neural Networks Empowered Origin‐Destination Learning for Urban Traffic Prediction

ABSTRACT Urban traffic prediction with high precision is always the unremitting pursuit of intelligent transportation systems and is instrumental in bringing smart cities into reality. The fundamental challenges for traffic prediction lie in the accurate modelling of spatial and temporal traffic dyn...

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Autors principals:	Chuanting Zhang, Guoqing Ma, Liang Zhang, Basem Shihada
Format:	Artigo
Idioma:	Inglês
Publicat:	Wiley 2025-08-01
Col·lecció:	CAAI Transactions on Intelligence Technology
Matèries:	deep neural networks origin‐destination learning spatial‐temporal modeling traffic prediction
Accés en línia:	https://doi.org/10.1049/cit2.70021
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