摘要
分析航班时刻分布特征从而对航班时刻资源进行科学有效的管理,是保持机场高效运行、减少延误的重要基础。选取我国8个枢纽机场为研究对象,对各机场的计划总航班数进行拟合,描述枢纽机场的运行情况。根据拟合函数的参数,使用层次聚类法对枢纽机场进行了分类。从拟合曲线入手,总结各枢纽机场一天的运行规律,划分相似时段后得到具有不同特点的3个时间段:总航班数下降时段、总航班数激增时段和总航班数趋于平稳时段。
Scientific and effective management of flight time resources by analyzing the distribution characteristics of flight schedules is an important basis for maintaining efficient operation of the airport and reducing delays.This paper selects 8 hub airports in China as the research object,firstly fits the planned total number of flights at each airport and describes the operation of the hub airport.Then,according to the parameters of the fitting function,the hierarchical airport clustering method is used to classify the hub airports and compare them with the results classified according to the airport traffic size.Finally,starting from the fitted image,summarizing the daily operation rules of each hub airport,and dividing the similar time periods to obtain three time periods with different characteristics:the total number of flights falling,the total number of flights and the total number of flights tending to smooth period.
作者
柯雨辰
赵元棣
KE Yu-chen;ZHAO Yuan-di(College of Civil Aviation,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China;College of Air Traffic Management,Civil Aviation University of China,Tianjin 300300,China)
出处
《航空计算技术》
2020年第3期40-43,共4页
Aeronautical Computing Technique
基金
国家自然科学基金项目资助(61903187)。
关键词
航班时刻
枢纽机场
曲线拟合
层次聚类
flight time
hub airport
curve fitting
hierarchical clustering
