区域管制系统运行效率影响因素排序研究#br#

中国民航大学学报 ›› 2019, Vol. 37 ›› Issue (5): 5-11.

区域管制系统运行效率影响因素排序研究#br#

赵玉环^1a，曹兴武²，崔子洋^1b，张兆宁^1b

（1.中国民航大学a.理学院； b.空中交通管理学院，天津300300； 2.国家空域管理中心，北京100094）

出版日期:2019-10-25 发布日期:2020-04-01
作者简介:赵玉环（1963—），女，河北唐山人，教授，硕士，研究方向为数理统计及其应用.
基金资助:
国家自然科学基金项目（71701202）；天津市自然科学基金项目（18JCQNJC04300）

Influencing factors of aera control system operation efficiency#br#

ZHAO Yuhuan^1a, CAO Xingwu², CUI Ziyang^1b, ZHANG Zhaoning^1b#br#

（1a. College of Science, 1b. College of Air Traffic Management, CAUC, Tianjin 300300, China;2. National Airspace Management Center, Beijing 100094, China）

Online:2019-10-25 Published:2020-04-01

摘要/Abstract

摘要： 由于影响区域管制系统运行效率的因素众多，且影响程度不一，因此需要对影响因素进行量化排序，找出关键影响因素并给出效率控制措施。根据区域管制系统的运行过程，运用“人-机-环-管”系统工程理论给出影响因素，从航路飞行延误时间、航路飞行流量减少架次、扇区内飞机滞留数量、单位时间内航班移交架次4 个维度以直觉三角模糊数描述各影响因素，结合TOPSIS 和矢量投影方法建立排序模型，对影响因素进行量化分析，找出关键影响因素。最后，经算例分析验证了排序模型的可行性，并给出相应的效率控制措施。

关键词: 区域管制系统, 运行效率, 影响因素, 直觉三角模糊数

Abstract: As there are many factors affecting the operating efficiency of area control system with various influencing degrees, it is necessary to rank the influencing factors, find out the key influencing factors and propose efficiency control measures. Based on the operational process of area control system and ‘man-machine-environment management’ system engineering theory, the influencing factors are given and described by intuitive triangular fuzzy number from the following four dimensions: flight delay time, reduction of flight flow, aircraft number in the sector, and aircraft handover within the unit time. A sorting model combined with TOPSIS and vector projection method is built to find the key influencing factors. Case analysis proves the feasibility of the ranking model, and corresponding efficiency control measures are supplied.

Key words: area control system, operation efficiency, influencing factors, intuitive triangular fuzzy number

中图分类号:

V355

赵玉环, 曹兴武, 崔子洋, 张兆宁. 区域管制系统运行效率影响因素排序研究#br#[J]. 中国民航大学学报, 2019, 37(5): 5-11.

ZHAO Yuhuan, CAO Xingwu, CUI Ziyang, ZHANG Zhaoning. Influencing factors of aera control system operation efficiency#br#[J]. Journal of Civil Aviation University of China, 2019, 37(5): 5-11.

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