STBGRN: A Traffic Prediction Model Based on Spatiotemporal Bidirectional Gated Recurrent Units and Graph Convolutional Residual Networks

Abstract With the development of society and the advancement of urbanization, the development of intelligent transportation system has attracted much attention. Efficient and accurate traffic flow prediction is one of the core tasks in the research of intelligent transportation system. Most of the e...

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Bibliografische Detailangaben

Hauptverfasser:	Jijie Zhang, Xiaolong Xu, Fu Xiao
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Springer 2024-05-01
Schriftenreihe:	International Journal of Computational Intelligence Systems
Schlagworte:	Traffic flow prediction ST-BiGRU GCN-ResNet Spatiotemporal dependence
Online-Zugang:	https://doi.org/10.1007/s44196-024-00531-7
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