Temporal representation learning enhanced dynamic adversarial graph convolutional network for traffic flow prediction

Abstract Accurate traffic flow prediction serves as the foundation for urban traffic guidance and control, playing a crucial role in intelligent transportation management and regulation. However, current methods fail to fully capture the complex patterns and periodic characteristics of traffic flow,...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Linlong Chen, Linbiao Chen, Hongyan Wang, Jian Zhao
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2025-03-01
Edice:	Scientific Reports
Témata:	Traffic flow prediction Dynamic graph generation Dynamic spatiotemporal characteristics Temporal representation learning Graph convolutional networks
On-line přístup:	https://doi.org/10.1038/s41598-025-93168-1
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!