Dynamic Graph Convolutional Recurrent Network With Spatiotemporal Category Information Embedding for Traffic Flow Prediction

Guodong Zhu; Yunyun Niu; Songzhi Du; Pengcheng Wang

doi:10.1109/jiot.2024.3440989

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Dynamic Graph Convolutional Recurrent Network With Spatiotemporal Category Information Embedding for Traffic Flow Prediction

Guodong Zhu Yunyun Niu Songzhi Du Pengcheng Wang

Year: 2024 Journal: IEEE Internet of Things Journal Vol: 11 (24)Pages: 39473-39486 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/jiot.2024.3440989

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Keywords:

Computer science Embedding Graph Theoretical computer science Data mining Artificial intelligence

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Topics

Traffic Prediction and Management Techniques

Physical Sciences → Engineering → Building and Construction

Transportation Planning and Optimization

Social Sciences → Social Sciences → Transportation

Traffic control and management

Physical Sciences → Engineering → Control and Systems Engineering

Dynamic Graph Convolutional Recurrent Network With Spatiotemporal Category Information Embedding for Traffic Flow Prediction

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Citation History

Topics

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