Temporal attention aware dual-graph convolution network for air traffic flow prediction
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DOI: 10.1016/j.jairtraman.2022.102301
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- Zhang, Zhaoning & Hao, Zhongzhou & Gao, Zheng, 2015. "A dynamic adjustment and distribution method of air traffic flow en-route," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 15-20.
- Wang, Wei & Cai, Kaiquan & Du, Wenbo & Wu, Xin & Tong, Lu (Carol) & Zhu, Xi & Cao, Xianbin, 2020. "Analysis of the Chinese railway system as a complex network," Chaos, Solitons & Fractals, Elsevier, vol. 130(C).
- Erasmo Cadenas & Wilfrido Rivera & Rafael Campos-Amezcua & Christopher Heard, 2016. "Wind Speed Prediction Using a Univariate ARIMA Model and a Multivariate NARX Model," Energies, MDPI, vol. 9(2), pages 1-15, February.
- Murça, Mayara Condé Rocha, 2018. "Collaborative air traffic flow management: Incorporating airline preferences in rerouting decisions," Journal of Air Transport Management, Elsevier, vol. 71(C), pages 97-107.
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Keywords
Air traffic flow prediction; Spatial and temporal dependencies; Dual-graph convolution; Long path dependencies; Temporal attention;All these keywords.
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