Enhancing Traffic Flow Forecasting With Delay Propagation: Adaptive Graph Convolution Networks for Spatio-Temporal Data

Zheng Yingran; Chao Luo; Rui Shao

doi:10.1109/tits.2024.3485794

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Enhancing Traffic Flow Forecasting With Delay Propagation: Adaptive Graph Convolution Networks for Spatio-Temporal Data

Zheng Yingran Chao Luo Rui Shao

Year: 2024 Journal: IEEE Transactions on Intelligent Transportation Systems Vol: 26 (1)Pages: 650-660 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tits.2024.3485794

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Keywords:

Computer science Convolution (computer science) Traffic flow (computer networking) Graph Real-time computing Computer network Theoretical computer science Artificial intelligence Artificial neural network

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Traffic Prediction and Management Techniques

Physical Sciences → Engineering → Building and Construction

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Advanced Clustering Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Enhancing Traffic Flow Forecasting With Delay Propagation: Adaptive Graph Convolution Networks for Spatio-Temporal Data

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Citation History

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