Graph neural network driven traffic prediction technology:review and challenge

Graph neural network driven traffic prediction technology:review and challenge

With the rapid development of Internet of things and artificial intelligence technology, accurate analysis and prediction of traffic data have become the primary target of intelligent transportations.In recent years, the method of traffic forecasting has gradually changed from the classical model-dr...

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Bibliographic Details
Main Authors: Yi ZHOU, Shuting HU, Wei LI, Nan CHENG, Ning LU, Xuemin(Sherman) SHEN
Format: Article
Language:zho
Published: China InfoCom Media Group 2021-12-01
Series:物联网学报
Subjects:
traffic prediction
graph neural networks
spatial-temporal correlation
synchronous convolution
graph at-tention networks
Online Access:http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2021.00235/
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http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2021.00235/

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