Enhanced delay propagation tree model with Bayesian Network for modelling flight delay propagation |
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Authors: | Weiwei Wu Cheng-Lung Wu |
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Affiliation: | 1. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China;2. School of Aviation, UNSW Sydney, Kensington, Australia |
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Abstract: | An enhanced Delay Propagation Tree model with Bayesian Network (DPT-BN) is developed to model multi-flight delay propagation and delay interdependencies. Using a set of real airline data, results show that flights have non-homogeneous delay propagation effects. The DPT-BN model is used to infer posterior delay profiles with different delay and scheduling scenarios. The major contribution of the DPT-BN model is to demonstrate how the modelling of non-independent and identically distributed delay profiles is more realistic for the observed delay propagation mechanism, and how robust airline scheduling methodologies can benefit from this probability-based delay model. |
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Keywords: | Flight delays Bayesian Network delay modelling delay propagation delay propagation tree |
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