Residual stacked gated recurrent unit with encoder–decoder architecture and an attention mechanism for temporal traffic prediction

R.J. Kuo; D. A. Kunarsito

doi:10.1007/s00500-022-07230-5

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Residual stacked gated recurrent unit with encoder–decoder architecture and an attention mechanism for temporal traffic prediction

R.J. Kuo D. A. Kunarsito

Year: 2022 Journal: Soft Computing Vol: 26 (17)Pages: 8617-8633 Publisher: Springer Science+Business Media

DOI: 10.1007/s00500-022-07230-5

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Keywords:

Computer science Deep learning Recurrent neural network Artificial intelligence Residual Intelligent transportation system Traffic flow (computer networking) Encoder Artificial neural network Real-time computing Machine learning Computer network Engineering Algorithm

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0.92

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0.67

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Topics

Traffic Prediction and Management Techniques

Physical Sciences → Engineering → Building and Construction

Air Quality Monitoring and Forecasting

Physical Sciences → Environmental Science → Environmental Engineering

Traffic control and management

Physical Sciences → Engineering → Control and Systems Engineering

Residual stacked gated recurrent unit with encoder–decoder architecture and an attention mechanism for temporal traffic prediction

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Citation History

Topics

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