基于灰色聚类的交叉航路拥挤识别方法

李善梅; 徐肖豪; 王超; 王飞

doi:10.3969/j.issn.0258-2724.2015.01.028

基于灰色聚类的交叉航路拥挤识别方法

doi: 10.3969/j.issn.0258-2724.2015.01.028

基金项目:

国家自然科学基金委与中国民用航空局联合资助项目(61039001,U1333108)

国家科技支撑计划资助项目(2011BAH24B10)

中央高校基本科研业务费专项资金资助项目(ZXH2011A002,3122014D036,ZXH2009D012)

详细信息

作者简介:
李善梅(1982-), 女, 博士, 研究方向为空中交通流量管理, E-mail:amy820203@163.com

计量
- 文章访问数: 1178
- HTML全文浏览量: 91
- PDF下载量: 694
- 被引次数: 0
出版历程
- 收稿日期: 2013-11-07
- 刊出日期: 2015-02-25

Congestion Identification of Crossing Air Routes Based on Gray Clustering Method

摘要

摘要: 为了减轻空管人员对交叉航路拥挤态势的认知负荷,针对现有空中交通拥挤识别方法的局限,根据交通拥挤的形成过程,提出了基于飞入、飞出交通量的交叉航路拥挤定义;在此基础上,提出了交叉航路拥挤度量指标,即滞留度指标、汇聚度指标和当量交通量指标,建立了交叉航路汇聚度模型,以及基于灰色聚类的交叉航路拥挤识别方法.交叉航路仿真运行数据的验证结果表明:交叉航路拥挤态势是其宏观动态特征和微观复杂特征相互作用的结果,本文方法识别的准确率达到90%,且计算过程简单可行.
- 航路 /
- 拥挤 /
- 识别 /
- 灰色聚类
Abstract: In order to reduce the cognitive load of air traffic managers for congestion of crossing air routes, the limitations of the congestion identification measurements was analyzed. According to the formation process of traffic congestion, a definition of crossing air routes congestion based on flying inflow and flying outflow rates was established. On this basis, indexes for measuring traffic congestion of crossing air routes, including retention degree, aggregation degree, and equivalent traffic volume, was proposed to establish an aggregation model of crossing air routes. Then, a congestion identification method of crossing air routes was built by gray clustering theory, and verified by numerical simulation. The results show that the congestion status is the result of interaction between macroscopic dynamic features and complicated microscopic features; the proposed method has an identification precision of 90% and a simple and feasible calculation process.
- air routes /
- congestion /
- identification /
- gray clustering

HTML全文

参考文献(43)

张晨,胡明华,张进. 针对交叉流的组合冲中突解脱策略

[J]. 系统工程理论与实践,2011,31(6): 1165-1173. ZHANG Chen, HU Minghua, ZHANG Jin. Combined conflict resolution strategy to intersecting traffic flows

[J]. Systems Engineering: Theory and Practice, 2011, 31(6): 1165-1173.

Volpe National Transportation Systems Center. Enhanced traffic management system (ETMS) functional description

[S]. Cambridge: Dept. of Transportation, 2002.

LAUDEMAN I V, SHELDEN S G, BRANSTROM R, et al. Dynamic density: an air traffic management metric, NASA/TM-1998-112226. Washington D. C.: NASA, 1998.

DELAHAYE D, PUECHMOREL S. Air traffic complexity: towards intrinsic metrics

[C]//3rd USA/Europe ATM RD Seminar. Napoli:

[s. n.], 2000: 1-6.

WANG P T R, TENE N, WOJCIK L. Relationship between airport congestion and at-gate delay

[C]//Digital Avionics Systems Conference. Irvine:

[s. n.], 2002: 2D5-1-2D5-10.

MUKHERJEE A, LOVELL D J, BALL M O, et al. Modeling delays and cancellation probabilities to support strategic simulations

[C]//Proceedings of 6th USA/Europe Air Traffic Management RD Seminar. Baltimore:

[s. n.], 2005: 1-10.

徐涛,丁建立,顾彬,等. 基于增量式排列支持向量机的机场航班延误预警

[J]. 航空学报,2009,30(7):1256-1262. XU Tao, DING Jianli, GU Bin, et al. Forecast warning level of flight delays based on incremental ranking support vector machine

[J]. Acta Aeronau Tica Et Astronau Tica Sinica, 2009, 30(7): 1256-1262.

张晨,胡明华,张进,等. 基于交通复杂性的扇区资源管理

[J]. 南京航空航天大学学报,2010,42(5): 607-613. ZHANG Chen, HU Minghua, ZHANG Jin, et al. Sector asset management based on air traffic complexity

[J]. Journal of Nanjing University of Aeronautics Astronautics, 2010, 42(5): 607-613.

van PAASSEN M M, d'ENGELBRONNER J G, MULDER M. Towards an air traffic control complexity metric based on workspace constraints

[C]//2010 IEEE International Conference on Systems Man and Cybernetics (SMC).

[S. l.]: IEEE, 2010: 654-660.

王超,杨乐. 空域扇区流量与拥塞预测的概率方法

[J]. 西南交通大学学报,2011,46(1): 162-166. WANG Chao, YANG Le. Probabilistic methods for airspace sector flow and congestion prediction

[J]. Journal of Southwest Jiaotong University, 2011, 46(1): 162-166.

田文. 基于不确定需求预测的概率空域拥挤管理方法研究. 南京:南京航空航天大学,2011.

KHADILKAR H, BALAKRISHNAN H. Network congestion control of airport surface operations

[J].Journal of Guidance, Control and Dynamics, 2013: 1-7.

叶博嘉,胡明华,张晨,等. 基于交通结构的空中交通复杂性建模

[J]. 交通运输系统工程与信息,2011,12(1): 166-172. YE Bojia, HU Minghua, ZHANG Chen, et al. Traffic structure-based air traffic complexity modeling

[J]. Journal of Transportation Systems Engineering and Information Technology, 2011, 12(1): 166-172.

ICAO. Doc 9869 AN/462 Manual on required communication performance (RCP)

[S]. Montreal: International Civil Aviation Organization, 2006.

KOPARDEKAR P, MAGYARITS S. Measurement and prediction of dynamic density

[C]//Proceedings of the 5th USA/Europe Air Traffic Management R D Seminar. Budapest: Hungary, 2003: 1-8.

陈勇. 空域容量评估模型和优化方法研究. 北京:北京航空航天大学,2004.

刘思峰,党耀国,方志耕,等. 灰色系统理论及其应用

[M]. 3版. 北京:科学出版社,2007: 74-83.

贺玲,吴玲达,蔡益朝. 数据挖掘中的聚类算法综述

[J]. 计算机应用研究,2007,24(1): 10-14. HE Ling, WU Lingda, CAI Yizhao. Survey of clustering algorithms in data mining

[J]. Application Research of Computers, 2007, 24(1): 10-14.

施引文献

附加材料(0)

访问统计

点击查看大图

计量

文章访问数: 1178
HTML全文浏览量: 91
PDF下载量: 694
被引次数: 0

基于灰色聚类的交叉航路拥挤识别方法

doi: 10.3969/j.issn.0258-2724.2015.01.028

作者简介: 李善梅(1982-), 女, 博士, 研究方向为空中交通流量管理, E-mail:amy820203@163.com

计量

出版历程

Congestion Identification of Crossing Air Routes Based on Gray Clustering Method

计量

出版历程

目录

作者简介:
李善梅(1982-), 女, 博士, 研究方向为空中交通流量管理, E-mail:amy820203@163.com