电子电气工程与控制

基于MIT的扇区流量管理决策

  • 赵密 ,
  • 王兴隆
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  • 中国民航大学 空中交通管理学院, 天津 300300

收稿日期: 2017-05-25

  修回日期: 2017-06-27

  网络出版日期: 2017-06-27

Sector flow management decision-making based on MIT

  • ZHAO Mi ,
  • WANG Xinglong
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  • College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China

Received date: 2017-05-25

  Revised date: 2017-06-27

  Online published: 2017-06-27

摘要

为缓解空中交通拥堵和减少航班延误,建立了扇区流量管理模型,并定义扇区容量超负荷频率指标,提出基于尾随间隔(MIT)的3种扇区流量管理决策方案,分析了郑州某个高空管制扇区8:00~9:00时段流量管理实例,结果表明合理的流量决策方案不仅能够缓解扇区拥堵,而且减少了41%的延误,验证了扇区流量管理决策方案的有效性及实用性,可以为决策者提供一定的决策支持。

本文引用格式

赵密 , 王兴隆 . 基于MIT的扇区流量管理决策[J]. 航空学报, 2017 , 38(S1) : 721502 -721502 . DOI: 10.7527/S1000-6893.2017.721502

Abstract

To alleviate air traffic congestion and reduce flight delay, a sector flow management model is established, and the sector capacity overload frequency index is defined. Three flow management decision schemes based on Miles-in-Trail (MIT) are proposed. An example of flow management of a high altitude control sector in Zhengzhou is analyzed in 8:00-9:00. The results show that the reasonable flow decision-making scheme not only alleviates the congestion of the sector, but also reduces 41% delays, verifying the effectiveness and practicability of the sector flow management decision-making scheme. The study can provide some support for decision makers.

参考文献

[1] VANDEVENNE H, LIPPERT M A. Evaluation of runway-assignment and aircraft-sequencing algorithms in terminal sector automation[J]. Lincoln Laboratory Journal, 1994, 7(2): 215-238.
[2] GOGINO A. Evaluating evolution and monte carlo for controlling air traffic flow[C]//Genetic and Evolutionary Computation Conference, 2009:1957-1962.
[3] MUKHERJEE A, GRABBE S, SRIDHAR B. Alleviating airspace restriction through strategic control[J]. Historia Critica, 2013: 101-146.
[4] SHETH K,GUTIERREZNOLASCO S,PETERSEN J. Analysis and modeling of miles-in-trail restrictions in the national airspace system[C]//Aviation Technology, Integration, and Operations Conference, 2013.
[5] AGOGINO A. Distributed optimization for automating air traffic flow management[C]//AIAA Guidance, Navigation and Control Conference and Exhibit. Reston, VA: AIAA, 2008: 298-327.
[6] 赵嶷飞, 金长江. 区域空中交通流量控制研究[J].飞行力学, 2002, 20(2): 67-70. ZHAO Y F, JIN C J. An approach to area traffic flow control research[J]. Flight Dynamics, 2002, 20(2): 67-70(in Chinese).
[7] 张雯雯. 区域空中交通流量控制仿真与建模研究[D].天津: 中国民航大学, 2009. ZHANG W W. Study on area traffic flow control simulation and modelling[D]. Tianjin: Civil Aviation University of China, 2009 (in Chinese).
[8] 赵嶷飞, 张雯雯. 区域空中交通流量控制建模研究[J].飞行力学, 2009, 27(5): 86-88. ZHAO Y F, ZHANG W W, On area traffic flow control simulation and modelling[J]. Flight Dynamics, 2009, 27(5): 86-88(in Chinese).
[9] 孙浩, 胡明华, 张颖. 基于遗传算法的扇区边界尾随间隔管理方法的研究[J]. 交通统工程与信息, 2010, 10(6): 174-179. SUN H, HU M H, ZHANG Y. Research of miles-in-trail strategy in sector boundary based on genetic algorithm[J]. Journal of Transportation Systems Engineering and Information Technology, 2010,10(6): 174-179 (in Chinese).
[10] 申晨. 空中交通管制移交间隔管理策略研究[D]. 南京: 南京航空航天大学,2012. SHEN C. Research on minutes-in-trail policy in air traffic control[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2012 (in Chinese).
[11] 王惠斌. 区域管制移交间隔策略研究[D]. 天津: 中国民航大学, 2015. WANG H B. Research on miles-in-trail policy in air traffic[D]. Tianjin: Civil Aviation University of China, 2015 (in Chinese).
[12] 杜实, 吴海波, 杜萌萌. 多扇区管制移交间隔管理研究[J]. 科学技术与工程, 2016, 16(13): 130-137. DU S, WU H B, DU M M. Sector's separation management model and algorithmfor transfer of control[J]. Science Technology and Engineering, 2016, 16(13): 130-137 (in Chinese).
[13] 胡明华, 马园园, 田文,等. 复杂终端区进场交通流优化排序方法研究[J]. 南京航空航天大学学报, 2015, 47(4):459-466. HU M H,MA Y Y,TIAN W, et al. Optimized sequencing and scheduling approach for arrival traffic flow at complex terminal area[J]. Journal of Nanjing University of Aeronautics & Astronartics, 2015, 47(4): 459-466 (in Chinese).

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