Traffic Forecasting
Traffic Forecasting is a network capacity planning method that predicts future data traffic patterns by analyzing historical usage trends and system performance metrics to inform infrastructure scalability decisions.
2K
Publications
121.2K
Citations
5.4K
Authors
1.4K
Institutions
Publications per year
2017–2026
1.1K
Parents
2K
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
Graph neural network for traffic forecasting: A survey
Weiwei Jiang, Jiayun Luo · Expert Systems with Applications · 2022 · 1.2K citations · Full text
Computing, Data Science, Forecasting +13
1–5 of 2K
5.4K
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11
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10
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10
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1–5 of 5.4K
1.4K
Tsinghua University
Beijing, China
33 h-index
155 publications
12.8K citations
Beijing Jiaotong University
Beijing, China
28 h-index
137 publications
22K citations

Chinese Academy of Sciences
Beijing, China
27 h-index
74 publications
4.8K citations

Beijing University of Posts and Telecommunications
Beijing, China
25 h-index
128 publications
5.5K citations

Zhejiang University
Hangzhou, China
23 h-index
68 publications
7.1K citations

University of Electronic Science and Technology of China
Chengdu, China
20 h-index
72 publications
3.9K citations

Beihang University
Beijing, China
20 h-index
80 publications
9.4K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
19 h-index
45 publications
2.6K citations
1–8 of 1.4K
71 publications · 12K citations
47
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45 publications · 7.3K citations
33
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63 publications · 2.8K citations
32
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TRR · 53 publications · 3.6K citations
29
h-index
29 publications · 2.7K citations
23
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1–5