SASTGCN: A Self-Adaptive Spatio-Temporal Graph Convolutional Network for Traffic Prediction

Traffic prediction plays a significant part in creating intelligent cities such as traffic management, urban computing, and public safety. Nevertheless, the complex spatio-temporal linkages and dynamically shifting patterns make it somewhat challenging. Existing mainstream traffic prediction approac...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Wei Li, Xi Zhan, Xin Liu, Lei Zhang, Yu Pan, Zhisong Pan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-08-01
coleção:	ISPRS International Journal of Geo-Information
Assuntos:	traffic prediction spatio-temporal sequence self-adaptive graph convolutional network
Acesso em linha:	https://www.mdpi.com/2220-9964/12/8/346
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!