Memory-Augmented Spatio-Temporal Transformer for Robust Traffic Flow Forecasting

Accurate traffic flow prediction plays a critical role in intelligent transportation systems, supporting traffic management, congestion mitigation, and efficient utilization of road resources. Advances in neural network-based methods, particularly graph neural networks (GNNs) and attention-based mod...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Puqing Hu, Chunjiang Wu, Chen Wang, Xin Yang, Zhibin Li, Tinghui Chen, Shijie Zhou
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-03-01
coleção:	Biomimetics
Assuntos:	traffic flow forecasting spatio-temporal representation learning graph attention networks long-term temporal dependencies neural prediction models
Acesso em linha:	https://www.mdpi.com/2313-7673/11/3/170
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!