Flight Delay Time Prediction Method Based on Digital Twins
In order to predict flight delays in large areas more accurately and efficiently,a flight delay pre-diction method based on digital twins is proposed.First,from the perspective of the flight chain as a whole,a flight chain digital twin system framework was designed based on the flight operation business characteristics and digital twin technology characteristics,integrating the operating status characteristics of relevant flights and airports during the entire life cycle of the flight chain.Secondly,a flight chain digital twin system framework was designed based on the Fastformer and GraphSAGE models designed a flight chain spatio-temporal feature extraction model(ST-Former)to fully explore the spatio-temporal correla-tion features between flights.Experiments showed that the prediction efficiency and accuracy of this meth-od were significantly improved,and the average prediction error was within 3 minutes.
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