Local-global dynamic correlations based spatial-temporal convolutional network for traffic flow forecasting

• Published in: 高技术通讯（英文版） Vol. 30; no. 4; pp. 370 - 379
• Main Authors: ZHANG Hong, GONG Lei, ZHAO Tianxin, ZHANG Xijun, WANG Hongyan
• Format: Journal Article
• Language: English
• Published: College of Computer and Communication,Lanzhou University of Technology,Lanzhou 730050,P.R.China 01.12.2024
• Subjects: attention mechanism(AM); traffic flow forecasting; temporal convolu-tional network(TCN); graph convolutional network(GCN)
• ISSN: 1006-6748
• DOI: 10.3772/j.issn.1006-6748.2024.04.004

Traffic flow forecasting plays a crucial role and is the key technology to realize dynamic traffic guidance and active traffic control in intelligent traffic systems(ITS).Aiming at the complex local and global spatial-temporal dynamic characteristics of traffic flow,this paper proposes a new traffic...