Flight Sequencing Study on Complex Point Merge System Based on Trajectory Prediction
In order to improve the operational efficiency of complex point merge systems,the flight sequencing problem of complex point fusion systems was investigated.The impact of conflicts outside the system on the sequencing of the point merge system was fully considered by using the BADA performance database for flight track prediction.With the objective of minimizing the flight time within the point merge system for incoming flights and the safe operat-ing interval as the constraint,the optimization was carried out using an improved butterfly optimization algorithm and validated by simulation using TAAM simulation software.After extensive simulation experiments,the overall optimiza-tion rate fluctuates around 30%,which proves the robustness and applicability of the ranking optimization model and provides a new idea for the research on the ranking optimization of point fusion systems.
Air traffic controlPoint merge systemSimulation optimizationTrack predictionButterfly optimization algorithm
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NSTL
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