Forecasting traffic flow with spatial–temporal convolutional graph attention networks
Traffic flow prediction is crucial for intelligent transportation system, such as traffic management, congestion alleviation and public risk assessment. Recently, attention mechanism and deep neural networks are utilized to capture traffic dependencies. However, two challenges have yet to be well ad...
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Veröffentlicht in: | Neural computing & applications 2022-09, Vol.34 (18), p.15457-15479 |
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