A Hybrid-Convolution Spatial–Temporal Recurrent Network For Traffic Flow Prediction

Accurate traffic flow prediction is valuable for satisfying citizens’ travel needs and alleviating urban traffic pressure. However, it is highly challenging due to the complexity of the urban geospatial structure and the highly nonlinear temporal and spatial dependence on human mobility. Most existi...

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Bibliographic Details
Published inComputer journal Vol. 67; no. 1; pp. 236 - 252
Main Authors Zhang, Xu, Wen, Shunjie, Yan, Liang, Feng, Jiangfan, Xia, Ying
Format Journal Article
LanguageEnglish
Published Oxford University Press 17.01.2024
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