A Spatiotemporal Multiscale Graph Convolutional Network for Traffic Flow Prediction-Reference-Cited by-同舟云学术

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A Spatiotemporal Multiscale Graph Convolutional Network for Traffic Flow Prediction

Published:2024-08 Issue:8 Volume:25 Page:8705-8718
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Cao Shuqin¹^ORCID,Wu Libing²^ORCID,Zhang Rui³^ORCID,Wu Dan⁴^ORCID,Cui Jianqun⁵^ORCID,Chang Yanan⁵^ORCID

Affiliation:

1. School of Computer Science, Wuhan University, Wuhan, China

2. School of Computer Science and School of Cyber Science and Engineering, Wuhan University, Wuhan, China

3. School of Cyber Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

4. School of Computer Science, University of Windsor, Windsor, ON, Canada

5. School of Computer Science, Central China Normal University, Wuhan, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Wuhan Science and Technology Joint Project for Building a Strong Transportation Country

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6979/10621861/10417810.pdf?arnumber=10417810

Reference48 articles.

1. Diffusion Convolutional Recurrent Neural Network with Rank Influence Learning for Traffic Forecasting

2. Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting

3. Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting

4. Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction

5. Adaptive graph convolutional recurrent network for traffic forecasting;Bai

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Traffic Flow Prediction Based on Downsampled Interactive Spatio-Temporal Attention Network;Modeling and Simulation;2024

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