Research On Aircraft Sequencing Model In Xi'an Terminal Area

With the continuous prosperity of China's economy,the domestic civil aviation industry has been improving steadily,realizing the steady and rapid growth of various transport indexes.This has also led to frequent short-term traffic congestion in the terminal areas of some large domestic airports,causing flight delays and economic losses.To a certain extent,the sorting strategy of the terminal area can improve the short-term traffic congestion in the terminal area,reduce delays,losses and the workload of controllers on the premise of ensuring the safety of flight operation.Therefore,it is of certain practical significance to study the sequencing of aircraft entering the terminal area.This paper studies the aircraft sequencing model in xi 'an terminal area.Firstly,from four aspects,including definition,airspace structure,airway flight structure and factors affecting the operation of terminal area,an overview of terminal operation environment.The parallel runway operating mode and requirements are summarized,and the new wake turbulence separation standard and some mainstream approach sorting algorithm of aircraft sequencing in the terminal are introduced.Secondly,the approach sequencing problem is described,two models of multi-runway approach sequencing are studied,the receding horizon control(RHC)strategy is introduced,and a dynamic model of multi-runway approach sequencing based on RHC strategy is proposed.In the design of optimal sorting algorithm,based on the deficiency of ant colony algorithm,the adaptive adjustment mechanism of heuristic factor and expectation heuristic factor was proposed,and RHC_improved ant colony algorithm model was designed.Finally,according to Xi'an aircraft data,under the two standards of wake turbulence to simulate the quality of algorithm,and compared with the two existing algorithms,consequences show that RHC_improved ant colony algorithm is better,and optimization results under the RECAT to further reduce the flight delays,showing that the appropriate cut wake turbulence separation help speed up the sorting process.