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Graph Neural Network for Traffic Flow Situation Prediction

Road network structure integrated traffic flow situation prediction is a highly nonlinear and complexly spatial-temporal dynamic correlation time-series data prediction problem. However, traditional traffic flow situation forecasting methods cannot model the temporal and spatial correlation in long-...

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Auteur principal: JIANG Shan, DING Zhiming, XU Xinrun, YAN Jin
Format: Artigo
Langue:Chinês
Publié: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2021-06-01
Collection:Jisuanji kexue yu tansuo
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Accès en ligne:http://fcst.ceaj.org/CN/abstract/abstract2722.shtml
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