Research On Flight Scheduling Method In Terminal Area Based On ADS-B Information

Global economic growth has promoted the rapid development of the transportation industry.As a key branch of transportation,the civil aviation industry has also increased its transportation volume to a new level.However,with the rapid development of the civil aviation transportation industry,the contradiction between the increasingly saturated airport capacity and dense air traffic flow has become increasingly prominent.The terminal area is the main area for flight arrivals and departures.Its complex airspace structure,intertwined trajectories,and numerous operational restrictions are the bottlenecks in the development of the civil aviation transportation industry.Optimizing flight sequence as the current economic,efficient and reasonable method can greatly increase airport capacity.Therefore,it is the key to increase the airport’s capacity to properly handle the order of departure and arrival flights within the terminal area.This paper combines the advantages of ADS-B data with high accuracy,fast update,and easy access.Based on ADS-B data,this paper studies the trajectory of aircraft in the terminal area.By analyzing the trajectory of the aircraft,point fusion technology is introduced into the approach procedure of the terminal area,and a point fusion approach model with the approach entrance as the convergence point is established to solve the problem of conflicts of approaching aircraft and reduce Wait for the use of procedures and controller load during the approach phase.Secondly,based on the arrival and departure aircraft distribution data of the airport,a reasonable analysis of the flight distribution trend is made.The wake interval is optimized according to the distribution of flight types.Using the method of rapid model calculation,the wake interval optimization calculation is performed on the aircraft in the weight interval(70 to 85 tons)with the highest frequency in three atmospheric environments.Finally,the optimized wake interval is used as the safety interval constraint,and the point fusion approach mode is used as the approach mode of the aircraft,and a multi-target approach flight model is established.The rolling time domain control strategy is combined with the genetic simulated annealing algorithm to solve the model to improve the order and dynamics of flight sequencing.In genetic simulated annealing algorithm,the concept of comprehensive satisfaction is proposed to provide individuals with more comprehensive multi-objective evaluation criteria.At the same time,an adaptive crossover and mutation operator is designed to retain the cross-mutation ability of highly adaptive individuals.Finally,the models and algorithms proposed in this paper are used to verify the operation data of an international airport in East China.