基于点融合系统的进场航班排序算法分析  

Analysis of Arrival Flight Sorting Algorithm Based on Point Fusion System

作　　者：钱菲 段炼[1] 孙永鹏 杜世杰 赵鹏飞 QIAN Fei;DUAN Lian;SUN Yongpeng;DU Shijie;ZHAO Pengfei(China Civil Aviation Flight Academy,Sichuan 618000,China;Inner Mongolia Zalantun Civil Aviation Airport Co.,Ltd.,Inner Mongolia 162650,China.)

机构地区：[1]中国民用航空飞行学院,四川618000 [2]内蒙古扎兰屯民航机场有限责任公司,内蒙古162650

出　　处：《电子技术(上海)》2025年第1期89-91,共3页Electronic Technology

基　　金：中国民用航空飞行学院航空公司气象服务系统建设规范项目(MHAQ2024013)。

摘　　要：阐述为提高机场终端区的运行效率,提出一种基于点融合系统的进场航班排序模型。该模型以进场航班的总飞行时间最少和延误航班架次最少为目标函数,以尾流间隔、最晚转弯时间和位置变化为约束条件。通过实例模拟一段繁忙时段的进场航班流进行验证,采用含精英策略的非支配遗传算法(NSGA-II)进行进场航班优化排序。与先到先服务(FCFS)模型相比,该模型表现出更高的效率。This paper describes a point fusion system based approach flight sorting model to improve the operational efficiency of airport terminal areas.The algorithm aims to minimize the total flight time of incoming flights and the number of delayed flights as the objective function,with constraints on wake interval,latest turning time,and position change.It simulates a busy period of incoming flight flow for verification,and selects the non dominated genetic algorithm(NSGA-ll)with elite strategy for optimizing the sorting of incoming flights.It compares the operation of this model with first come first served(FCFS),andtheresults showthatthemodel ismore efficient.

关 键 词：智能算法 进场排序 遗传算法 点融合系统 模拟仿真 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] V355[自动化与计算机技术—控制科学与工程]