Traffic Prediction is a computational method in Cloud Traffic Engineering that forecasts future network traffic patterns by analyzing historical and real-time data to optimize resource allocation and improve service delivery.
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T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction
Ling Zhao, Yujiao Song, Chao Zhang et al. · IEEE Transactions on Intelligent Transportation Systems · 2019 · 3.2K citations · Full text
Computing, Data Science, Forecasting +16
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Tsinghua University
Beijing, China
45 h-index
263 publications
23.6K citations
Beijing Jiaotong University
Beijing, China
37 h-index
198 publications
34.4K citations
Southeast University
Nanjing, China
35 h-index
190 publications
9K citations
Chinese Academy of Sciences
Beijing, China
35 h-index
144 publications
21.1K citations
Beijing University of Posts and Telecommunications
Beijing, China
35 h-index
247 publications
13.9K citations
Beihang University
Beijing, China
34 h-index
190 publications
30.7K citations
Zhejiang University
Hangzhou, China
30 h-index
104 publications
8.9K citations
Central South University
Changsha, China
27 h-index
82 publications
20.6K citations
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- IEEE Transactions on Intelligent Transportation Systems
172 publications · 24.2K citations
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- IEEE Access
128 publications · 6K citations
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- Transportation Research Part C Emerging Technologies
62 publications · 12K citations
44
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- Transportation Research Record Journal of the Transportation Research Board
TRR · 57 publications · 3.6K citations
32
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- Expert Systems with Applications
45 publications · 4.2K citations
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