SGDAN—A Spatio-Temporal Graph Dual-Attention Neural Network for Quantified Flight Delay Prediction

There has been a lot of research on flight delays. But it is more useful and difficult to estimate the departure delay time especially three hours before the scheduled time of departure, from which passengers can reasonably plan their travel time and the airline and airport staff can schedule flight...

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Detalles Bibliográficos
Autores principales: Guo, Ziyu, Mei, Guangxu, Liu, Shijun, Pan, Li, Bian, Lei, Tang, Hongwu, Wang, Diansheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7696102/
https://www.ncbi.nlm.nih.gov/pubmed/33187127
http://dx.doi.org/10.3390/s20226433

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7696102/
https://www.ncbi.nlm.nih.gov/pubmed/33187127
http://dx.doi.org/10.3390/s20226433

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