基于粒子群优化算法的机场群航班优化配置研究  

Flight Schedule Optimization in Multi-airport System Based on Particle Swarm Optimization Algorithm

作　　者：朱金福[1] 马睿馨 彭安娜 严琛 ZHU Jinfu;MA Ruixin;PENG Anna;YAN Chen(College of Civil Aviation,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,Jiangsu,China;AECC Commercial Aircraft Engine Co.,Ltd.,Shanghai 200241,China)

机构地区：[1]南京航空航天大学民航学院,江苏南京211106 [2]中国航发商用航空发动机有限责任公司,上海200241

出　　处：《重庆交通大学学报（自然科学版）》2021年第9期1-8,共8页Journal of Chongqing Jiaotong University(Natural Science)

基　　金：国家自然科学基金项目(71171111)。

摘　　要：针对我国机场群发展不平衡、航线同质化程度高等问题,建立了以航班准点率、航空公司市场份额、旅客损失时间和航班功能定位指标最大化的航班时刻优化模型,将一级国际枢纽机场运行效果差的航班分配至周边机场。笔者在满足机场群内各机场起降容量限制、航班唯一性和航班连续性的条件下,设计改进的粒子群优化算法进行求解。以长三角机场群的航班时刻资源为例进行实例验证。研究表明:模型能够有效调整枢纽机场的低效航班至周边机场,使得机场群内各机场航班分布较为均衡,有效控制各时段航班架次的变化趋势,优化效果显著。In view of the general problems of unbalanced development of China’s multi-airport system and high degree of homogenization of routes,a flight schedule optimization model was established to maximize the flight punctuality rate,airline market share,passenger loss time and flight function positioning index,and the flights with poor operation effect of the first level international hub airport were allocated to the surrounding airports.Under the conditions of meeting the takeoff and landing capacity constraints,flight uniqueness and flight continuity of each airport in the multi-airport system,an improved particle swarm optimization algorithm was designed to solve the problem.The flight schedule of Yangtze River Delta multi-airport system was taken as an example to verify.The research shows that the proposed model can effectively adjust the inefficient flights of the hub airport to the surrounding airports,which makes the flight distribution of each airport in the multi-airport system more balanced and effectively controls the change trend of flight sorties in each period,and the optimization effect is significant.

关 键 词：交通运输工程 航班时刻优化 机场群 粒子群优化算法 

分 类 号：U8[交通运输工程]