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中国管理科学

中国管理科学 ›› 2010, Vol. 18 ›› Issue (5): 130-136.

• 论文 • 上一篇    下一篇

基于Fisher聚类算法的航班飞行高度偏差分析研究

俞萍1,2, 池宏2, 谭显春2, 许保光2, 刘磊2   

  1. 1. 中国科学技术大学管理学院, 安徽 合肥 230026;
    2. 中国科学院科技政策与管理科学研究所, 北京 100190
  • 收稿日期:2009-04-05 修回日期:2010-08-27 出版日期:2010-10-30 发布日期:2010-10-30
  • 作者简介:俞萍(1985- ),女(汉族),安徽芜湖人,中国科技大学管理学院,硕士,研究方向:风险管理、安全管理.

A Study on Flight Altitude Discrepancy Base on the Fisher Ordinal Samples Cluster Method

YU Ping1,2, CHI Hong2, TAN Xian-chun2, XU Bao-guang2, LIU Lei2   

  1. 1. School of Management, University of Science and Technology of China, Hefei 230026, China;
    2. Institute of Policy and Management, Chinese Academy of Science, Beijing 100190, China
  • Received:2009-04-05 Revised:2010-08-27 Online:2010-10-30 Published:2010-10-30

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1701

被引次数

1

摘要： 目前计算机飞行计划(Computerized Flight Plan,CFP)中的计划飞行高度与实际飞行高度之间存在偏差.为了能识别出航路中易发生显著偏差的子航段,便于对其进行重点监控,本文提出一种基于Fisher有序样本聚类算法的航班飞行高度偏差分析方法,采用修正的Fisher有序样本聚类算法对航路进行分段,在分段的基础上,对每个子航段上的高度偏差平均水平及波动情况进行统计分析,作为高度偏差的评价指标.分析结果可帮助识别航路上易发生显著实际与计划飞行高度偏差的子航段,为签派人员制作飞行计划以及在机组人员进行航前准备提供决策依据,具有较好的实践意义.

关键词: 航班运控管理, 飞行高度偏差, 飞行计划, Fisher有序样本聚类

Abstract: There now exists a discrepancy between the practical flight altitude and the one calculated by CFP(Computerized Flight Plan),which is unfavorable to security as well as cost-saving of flights.Along air route,flight altitude discrepancy is variable between segments.According to this character,this paper studies the flight altitude discrepancy based on air route segmentation.The study applies the weighted Fisher ordinal samples cluster method to cluster around those air route points with similar discrepancy level,meanwhile keeping their original order in air route,consequently carrying out air route segmentation.The out come cantell on which air route segments the discrepancy is striking and needs to be given special at tention,which is of benefit to improve the rationality of flight plan(takeoff fuel) and helps pilots support takeoff preparation.

Key words: flight operation and control management, Computerized Flight Plan(CFP), flight altitude, Fisher Ordinal Cluster, Optimal Partition Method

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