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

ZHANG Hong GONG Lei ZHAO Tianxin ZHANG Xijun WANG Hongyan

High Technology Letters2024，Vol.30Issue(4)：P.370-379,10.

High Technology Letters2024，Vol.30Issue(4)：P.370-379,10.DOI:10.3772/j.issn.1006-6748.2024.04.004

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

ZHANG Hong ¹GONG Lei ¹ZHAO Tianxin ¹ZHANG Xijun ¹WANG Hongyan¹

作者信息

1. College of Computer and Communication,Lanzhou University of Technology,Lanzhou 730050,P.R.China
折叠

摘要

关键词

traffic flow forecasting/graph convolutional network(GCN)/temporal convolu-tional network(TCN)/attention mechanism(AM)

分类

交通工程

引用本文复制引用

ZHANG Hong,GONG Lei,ZHAO Tianxin,ZHANG Xijun,WANG Hongyan..Local-global dynamic correlations based spatial-temporal convolutional network for traffic flow forecasting[J].High Technology Letters,2024,30(4):P.370-379,10.

基金项目

Supported by the Key R&D Program of Gansu Province(No.23YFGA0063) （No.23YFGA0063）

the National Natural Science Foundation of China(No.62363022,61663021) （No.62363022,61663021）

the Natural Science Foundation of Gansu Province(No.22JR5RA226,23JRRA886) （No.22JR5RA226,23JRRA886）

the Gansu Provincial De-partment of Education:Industrial Support Plan Project(No.2023CYZC-35). （No.2023CYZC-35）

High Technology Letters

ISSN：1006-6748

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