STANN: A Spatio-Temporal Attentive Neural Network for Traffic Prediction

Recently, traffic prediction based on deep learning methods has attracted much attention. However, there still exist two major challenges, namely, dynamic spatio-temporal dependences among network-wide links and long-term traffic prediction for the next few hours. To address these two challenges, th...

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Veröffentlicht in:	IEEE access 2019, Vol.7, p.4795-4806
Hauptverfasser:	He, Zhixiang, Chow, Chi-Yin, Zhang, Jia-Dong
Format:	Artikel
Sprache:	eng
Schlagworte:	attention mechanism Coders Data models Decoding deep neural network Neural networks Object oriented modeling Predictive models Recurrent neural networks Roads Spatio-temporal data Time series analysis traffic prediction
Online-Zugang:	Volltext
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