Spatio-Temporal Residual Graph Convolutional Network for Short-Term Traffic Flow Prediction

Accurate spatio-temporal traffic flow prediction is a significant research direction in the intelligent transport system. Current prediction methods have limitations in spatio-temporal feature extraction, and the prediction results have poor performance. In this paper, a short-term traffic flow pred...

Cijeli opis

Bibliografski detalji

Glavni autori:	Qingyong Zhang, Meifang Tan, Changwu Li, Huiwen Xia, Wanfeng Chang, Minglong Li
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2023-01-01
Serija:	IEEE Access
Teme:	Attention mechanism bidirectional gated recurrent unit graph convolutional networks short-term traffic flow prediction spatio-temporal traffic flow prediction
Online pristup:	https://ieeexplore.ieee.org/document/10197420/
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!