Ifigenia Drosouli1,2, Athanasios Voulodimos3, Paris Mastorocostas1

  • 1Department of Informatics and Computer Engineering, University of West Attica, 12243 Egaleo, Greece.

PubMed
概括

这项研究引入了一种用于准确预测运输流量的新模型. 时空图卷积循环网络 (ST-GCRN) 显著减少了智能城市移动系统的估计错误.

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