Bi-GRCN: A Spatio-Temporal Traffic Flow Prediction Model Based on Graph Neural Network
Because traffic flow data has complex spatial dependence and temporal correlation, it is a challenging problem for researchers in the field of Intelligent Transportation to accurately predict traffic flow by analyzing spatio-temporal traffic data. Based on the idea of spatio-temporal data fusion, fu...
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Main Authors: | Wenhao Jiang, Yunpeng Xiao, Yanbing Liu, Qilie Liu, Zheng Li |
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Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
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Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2022/5221362 |
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