機場群終端區(qū)離港航班協(xié)同排序方法研究

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中圖分類號：V355；[U8] 文獻標志碼：A

本文引用格式：，瑛，.機場群終端區(qū)離港航班協(xié)同排序方法研究[J].華東交通大學學報，2025，42（2）：119-126.

Research on Collaborative Sequencing Methods of Departure Flights in Airport Cluster Terminal Area

Wan Zhaokun12，Peng Ying1，2，Ye Wenjie12

（1.CollegeofCivilAviation，Nanjing UniversityofAeronauticsandAstronautics，Nanjing 21o6，China; 2.NaturalKey Laboratory ofAirTrafic Management System，Nanjing UniversityofAeronautics and Astronautics，Nanjing 211106， China）

Abstract：Inthecurrent domainofair traffic，frequentflightconflictsand departure flight delays withinairport systems are increasinglybecoming key factors thataffct the eficiencyofflight operations and passenger satisfaction.Byconsidering the resource constraints of airport systems，the concept of“airport satisfaction”is introduced.The objectives of optimization include minimizing the total delay of departure flights，maximizing the sumof satisfaction across allairports，and maximizing the overall measure of fairness within the airport system. A collaborative sequencing model for departure flights inthe terminal area of airportclusters is established，and an elitist strategy-based non-dominated sorting genetic algorithm is designed to solve the Pareto optimal solution for the collaborative sequencing problem of departure flights in the terminalarea of airport clusters.An empirical analysis was conducted using the terminal areas of three airports in the Beijing-Tianjin region as examples.The experimental results show thatcompared to the first-come-first-served scheme，the total flight delay was reduced from 7 796 seconds to 5 029 seconds，a decrease of 35.5% ，with the average delay per flight dropping from 159 seconds to 103 seconds.The average satisfactionofflights reached 0.786 7，and the overallmeasure of fairness among airports in the cluster was 0.004 4.The proposed optimization method can significantly reduce the total delayofdeparture flights inairport systems，improveoverallflight satisfaction，andachieve the fairandefficient use of resources.

Key words：airport cluster terminal area; collaborative sorting model; departure flight satisfaction; non-dominated sorting multi-objective genetic algorithm

Citation format：WAN Z K，PENG Y，YE WJ. Research on collaborative sequencing methods of departure flights in airport cluster terminal area[J].Journal ofEast China Jiaotong University，2025，42（2）：119-126.

經濟迅速發(fā)展的背景下，民航業(yè)迎來了一個快速增長時期，空中交通流量的需求呈現持續(xù)增長趨勢。（剩余10697字）