Spatiotemporal-decoupled interactive learning for traffic flow prediction

Abstract Accurate traffic flow prediction is a core capability of intelligent transportation systems, supporting trip planning, network dispatch, and management decisions. Most existing approaches overlook interactive learning of spatiotemporal dependencies and struggle to accommodate pattern divers...

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Үндсэн зохиолчид:	Linlong Chen, Qingfang Wu
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Nature Portfolio 2026-02-01
Цуврал:	Scientific Reports
Нөхцлүүд:	Traffic flow prediction Graph neural networks Spatiotemporal decoupling Interactive learning Spatiotemporal heterogeneity
Онлайн хандалт:	https://doi.org/10.1038/s41598-026-38244-w
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!