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Flight delay is a nondeterministic problem. Modeling and estimating flight delay is very important in the flight delay research. It is also the precondition to calculate delay propagation. A new Bayesian network structure learning algorithm, named target-fixed stochastic-ordered K2(TSK2), has been proposed in this paper. After using this new algorithm to build the Bayesian network of flight delay,...
The research in the aspect of flight delay and delay propagation is relatively short in domestic. A flight-delay and delay propagation model is established based on Bayesian network (BN). After trained the network by real data with Expectation-Maximization (EM) arithmetic, the influences from the Arrival-delay and the Flight-cancellation on the departure-delay are analyzed under different all kinds...
In recent years, flight delay problem blocks the development of the civil aviation industry all over the world. And delay propagation always is a main factor that impacts the flight's delay. All kinds of delays often happen in nearly-saturated or overloaded airports. This paper we take one busy hub-airport as the main research object to estimate the arrival delay in this airport, and to discuss the...
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