Prediction of the waterborne navigation density based on the multi-feature spatio-temporal graph convolution network

Prediction of the waterborne navigation density based on the multi-feature spatio-temporal graph convolution network

In the face of the development of the information technology in the port and waterway,the Internet of things (IoT) technology can help to build China’s water transport perception network.The big data analysis of the waterborne transport has become a hot topic for researchers and practitioners in the...

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Bibliographic Details
Main Authors: Wei DONG, Leilei ZHANG, Ziheng JIN, Wei SUN, Junbo GAO
Format: Article
Language:zho
Published: China InfoCom Media Group 2020-09-01
Series:物联网学报
Subjects:
waterborne traffic
navigation density
spatio-temporal correlation
graph convolution network
multiple feature
Online Access:http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2020.00176/
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http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2020.00176/

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