摘要
未来中国终端区将逐年递增,根据数据显示终端区内空域资源与飞行流量的增长不成正比,终端区内流量趋于饱和。为了有效提升终端区运行的效率,确保航空器在其空域的安全飞行,降低管制员的负荷以及公司的运行成本,从航空器延误、管制员负荷以及各机场资源平衡3个方向建立多机场终端区航空器进场协同排序模型。首先,通过对终端区范围界定,运行主要问题的研究以及空域结构的分析,了解终端区系统的相互关联因素;其次,通过对终端区进场航空器的线路、交叉点的单独分析,找到相应的共同点和影响较高的运行系统相关性因素、相关的约束以及主要的解决目标;最后,利用结合模拟退火算法(simulated annealing algorithm, SAA)的非支配排序遗传算法Ⅱ(non-dominated sorting genetic algorithmⅡ,NSGA-Ⅱ)算法对该模型进行求解。结果表明:基于改进遗传算法对该模型求解后对比先到先服务模式以及未改进的遗传算法在效率上分别提高26.3%和53.2%。由此可见,所提出的模型能有效地提高航空器排序的效率。
In the future,the number of the terminal airspace in China will increase year by year,according to the data,the airspace resources in the terminal area are not proportional to the growth of flight flow,and the flow in the terminal area tends to be saturated.In order to effectively improve the efficiency of terminal area operation,ensure the safe flight of aircraft in its airspace,reduce the load of controllers and the operation cost of the company,a multi airport terminal area Aircraft Arrival collaborative sequencing model was established from three directions:aircraft delay,controller load and resource balance of each airport.Firstly,the interrelated factors of the terminal area system were obtained through the study of the scope of the terminal area,the main problems of operation and the analysis of the airspace structure.Secondly,the corresponding commonalities,high impact operation system correlation factors,relevant constraints and main solution objectives were obtained through the separate analysis of the routes and intersections of aircraft entering the terminal area.Finally,the model was solved by non-dominated sorting genetic algorithmⅡ(NSGA-Ⅱ)algorithm combined with simulated annealing algorithm(SAA).The results show that the solution of the model based on the improved genetic algorithm is compared with the first come first serve model and the unmodified genetic algorithm,the efficiency is improved by 26.3%and 53.2%respectively.It can be seen that the efficiency of aircraft sequencing can be greatly improved through the proposed model.
作者
向征
袁博轩
刘玥琳
XIANG Zheng;YUAN Bo-xuan;LIU Yue-lin(School of Air Traffic Management,Civil Aviation Flight University of China,Guanghan 618307,China)
出处
《科学技术与工程》
北大核心
2022年第29期13104-13113,共10页
Science Technology and Engineering
基金
中国民用航空飞行学院科研项目(J2021-082)。
关键词
多机场终端区
多目标优化
进场协同排序模型
先到先服务模式
模拟退火算法
NSGA-Ⅱ算法
multi airport terminal area
multi-objective optimization
approach collaborative ranking model
first come first serve model
simulated annealing algorithm
NSGA-Ⅱalgorithm
