Characterization and prediction of air traffic delays
Transportation Research Part C: Emerging Technologies(2014)
摘要
•A new model for predicting air traffic delays is proposed and evaluated.•Both temporal and network delay states are considered as explanatory variables.•Random Forest classification and regression algorithms are used to predict delays.•For a 2-h forecast and 60min threshold, the average classification error is 19%.•For a 2-h forecast horizon, the median regression test error is 21min.
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关键词
Air traffic delay prediction,Network effects,k-Means clustering,Random Forests,Classification,Regression
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