Flight Schedule Optimization Considering Wind Direction Uncertainty
The uncertainty of wind direction will affect the flight time and the arrival time of flights at the corri-dor,causing the phenomenon of traffic oversaturation at the corridor.The concept of reference wind direction is pro-posed,and the probability of reference wind direction in different months of the entire flight season is calculated;Sec-ondly,based on the probability of the benchmark wind direction,cluster all months into three categories using the sum of squared errors and contour coefficients as indicators;Then,based on the clustering results,a corridor flow risk model considering wind direction uncertainty was established,and an improved particle swarm algorithm was designed to solve the model;Finally,the flight schedule of Capital International Airport is used as an example for verification.The research has shown that the above model can to some extent alleviate the problem of corridor flow saturation caused by wind direction uncertainty and enhance the robustness of flight schedules.Compared to the initial flight schedule,the variance of corridor flow at different reference wind directions decreased by 26％ and 14％,respectively,and the total flight volume exceeding the capacity of the departure corridor decreased by 45％ .
Air transportationUncertaintyParticle swarm optimization algorithmCorridorFlight schedule opti-mization
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