Hierarchical Traffic Flow Prediction Based on Spatial-Temporal Graph Convolutional Network-Reference-Cited by-同舟云学术

Hierarchical Traffic Flow Prediction Based on Spatial-Temporal Graph Convolutional Network

Author:

Wang Hanqiu¹^ORCID,Zhang Rongqing¹^ORCID,Cheng Xiang²^ORCID,Yang Liuqing³^ORCID

Affiliation:

1. School of Software Engineering, Tongji University, Shanghai, China

2. State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, Peking University, Beijing, China

3. Department of Electrical and Computer Engineering, University of Minnesota, Twin Cities, Minneapolis, MN, USA

Funder

Ministry National Key Research and Development Project

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

Fundamental Research Funds for the Central Universities, China

State Key Laboratory of Advanced Optical Communication Systems Networks, China

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

Reference28 articles.

2. Traffic flow prediction with big data: A deep learning approach;lv;IEEE Trans Intell Transp Syst,2015

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