Research On Flight Guarantee Optimization For Hub Airport

The flight guarantee mainly refers to the ground guarantee links such as aviation fuel refueling,meal allocation,water addition,and loading and unloading of luggage carried out in accordance with certain rules and orders during flight.The different operation sequences of the flight guarantee link have a very important impact on the follow-up protection of the flight.In view of the complexity of airport flight support links and the mutual restriction between different links,it is difficult to carry out comprehensive evaluation of flight guarantees.A model of flight guarantee index system based on Bayesian network weights is proposed.Firstly,combing the flight guarantee links,establishing a Bayesian network based on the flight guarantee data,analyzing the interdependencies among the various guarantee links,and determining the correlation coefficient.Then,based on the correlation coefficient,the fuzzy comprehensive evaluation method is used to establish the flight guarantee index system model.The test shows that the model can effectively evaluate the entire flight guarantee operation,and the model shows a strong correlation between the flight evaluation level and the flight delay time.For flights with low evaluation scores in the evaluation of flight guarantee index system,this paper uses historical flight guarantee as a priori information and a flight guarantee optimization model based on case-based reasoning is proposed.First,the clustering method is used to simplify and generalize the flight case to build a flight guarantee case base.Secondly,the preference matching of aircraft type and aircraft position is taken as a reference,and a model-position preference optimization algorithm is proposed to adjust and optimize the flight guarantee.Finally,simulation experiments show that under the premise of ensuring the reasonable occupancy of the aircraft,the scores of the adjusted flight support evaluation have been significantly improved.