Graph neural network for traffic forecasting: A survey

Traffic forecasting is important for the success of intelligent transportation systems. Deep learning models, including convolution neural networks and recurrent neural networks, have been extensively applied in traffic forecasting problems to model spatial and temporal dependencies. In recent years...

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Bibliographic Details
Published inExpert systems with applications Vol. 207; p. 117921
Main Authors Jiang, Weiwei, Luo, Jiayun
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 30.11.2022
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