DSTGA-Mamba: a disentangled spatio-temporal graph attention Mamba model for traffic flow prediction

Abstract Accurate and robust traffic flow prediction remains a fundamental yet unresolved challenge in intelligent transportation systems, primarily due to the intertwined nature of long-term trends and short-term disruptions, alongside complex, dynamic spatio-temporal dependencies. This study propo...

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Hlavní autoři:	Linlong Chen, Qingfang Wu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2025-12-01
Edice:	Scientific Reports
Témata:	Traffic flow prediction Spatio-temporal graph neural networks Disentangled modeling State-space models Multi-supervision decoding
On-line přístup:	https://doi.org/10.1038/s41598-025-31990-3
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