An improved dynamic Chebyshev graph convolution network for traffic flow prediction with spatial-temporal attention
Author:
Funder
National Natural Science Foundation of China
Fujian Provincial Department of Science and Technology
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-021-03022-w.pdf
Reference30 articles.
1. Tu Y, Lin S, Qiao J, Liu B (2021) Deep traffic congestion prediction model based on road segment grouping. Appl Intell 51(11):8519–8541
2. Belhadi A, Djenouri Y, Djenouri D, Lin JC-WJAI (2020) A recurrent neural network for urban long-term traffic flow forecasting. Appl Intell 50:3252–3265
3. Zhang J, Wang F-Y, Wang K, Lin W-H, Xu X, Chen C (2011) Data-driven intelligent transportation systems: A survey. IEEE Trans Intell Transp Syst 12:1624–1639
4. Li W, Wang X, Zhang Y, Wu Q (2021) Traffic flow prediction over muti-sensor data correlation with graph convolution network. Neurocomputing 427:50–63
5. Nguyen H, Liu W, Chen F (2016) Discovering congestion propagation patterns in spatio-temporal traffic data. IEEE Trans Big Data 3:169–180
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