灵活空域使用的设计方法与应用及其时间替代机制

doi:10.11867/j.issn.1001-8166.2016.06.0643.

地球科学进展 ›› 2016, Vol. 31 ›› Issue (6): 643 -649. doi: 10.11867/j.issn.1001-8166.2016.06.0643.

杜欣儒 ¹(

), 路紫 ^2,,A; ^*(

), 郜方 ¹, 姚赛 ²

1.河北师范大学资源与环境科学学院,河北石家庄 050024
2.河北师范大学旅游学院,河北石家庄 050024

收稿日期:2016-04-21 修回日期:2016-05-20 出版日期:2016-06-20
通讯作者: 路紫 E-mail:duxinru0224@126.com;luzi1960@126.com
基金资助:
*国家自然科学基金项目“数据通信支持的空域资源配置模型与机制”(编号:41671121);河北省创新创业训练计划项目“危险天气下的空域配置研究——以京津冀机场群为例”(编号:2016xjcx065)资助

Design Method, Application and Time Alternative Mechanism of Flexible Use of Airspace

Xinru Du ¹( ), Zi Lu ^2, ^*( ), Fang Gao ¹, Sai Yao ²

1.School of Resource and Environment Sciences,Hebei Normal University,Shijiazhuang 050024,China
2.School of Tourism,Hebei Normal University,Shijiazhuang 050024,China

Received:2016-04-21 Revised:2016-05-20 Online:2016-06-20 Published:2016-06-10
Contact: Zi Lu E-mail:duxinru0224@126.com;luzi1960@126.com
About author:
First author:Du Xinru (1989-), female, Jinzhong City, Shanxi Province, Master student. Research areas include regional development.E-mail:duxinru0224@126.com

Corresponding author:Lu Zi (1960-), male, Beijing City, Professor. Research areas include regional development and management.E-mail:luzi1960@126.com
Supported by:
Project supported by the National Nature Science Foundation of China “The model and mechanisms of airspace configuration supported by data communication”(No.41671121);The Innovating and Training Program in Hebei Province “Study on the airspace configuration in risky weather—Taking airports of Beijing, Tianjin and Hebei as an example”(No.2016xjcx065)

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灵活空域使用以及实践已成为美国新一代航空运输体系的关键组成部分,同时也成为欧洲和日本等国家空域重构的重要技术支撑。在全面认知与回顾灵活空域使用的产生、实施与目标的基础上,对扇区边界更改的设计方法进行了优势评估;然后从“扇区拆合”视角分析了扇区边界更改的效果;由此解释了灵活空域使用的时间替代机制。研究认为,“算法+人工动态扇区边界更改”能更好地分配和平衡跨扇区的非均衡变化,促进空域资源开发和空域容量释放;建立在信息通信技术支持下的灵活空域使用实现了时间因素对空间利用的替代,能最大限度地提高空域重构和航线改变的灵活性。灵活空域使用方法及其应用不仅可以服务于我国国家空域系统整体战略的制定,也有助于推动地理学关于空域资源开发利用研究及其空陆对接研究。

关键词: 灵活空域使用, 扇区边界更改, 空域重构, 时间替代机制

The flexible use of airspace and its practice are the key components of next generation air transportation system and the important technical support of reconstructing the national airspace in Europe, Japan and other countries. On the basis of overview and comprehensive cognition of the generation, implementation and aims of flexible use of airspace, the design methods of sector’s boundary changes were evaluated. Then, from the perspective of “sector-closed”, the effect on sector boundary changes was evaluated, and the time alternative mechanism in flexible use of airspace was revealed. The research shows that “Algorithm+Manual Dynamic Boundary Change” can be a method for better distribution and balancing the unbalanced traffic demand across regions, which will also promote the airspace development and capacity release. The flexible use of airspace based on ICTs realizes the replacement of the factor of space by the factor of time, which enhances the flexibility of airspace configuration and the changing of air routes to the maximun extent. The methods and applications of flexible use of airspace will be not only beneficial to establishing the whole national airspace system and utilization, but also to promoting geography research on airspace resources development and the studies on connection between air and land.

Key words: Flexible use of airspace, Sector’s boundary changes, Airspace reconfiguration, Time alternative mechanism.

中图分类号:

P963

图1 美国堪萨斯城交通管制中心空域简单扇区与复杂扇区划分(据参考文献[12]修改)

Fig.1 Simple sectors and complex sectors chosen in Kansas City air route traffic control center (modified after reference[12])

图2 2类扇区经空域重构后预测的航空器数量比较
(a)简单扇区;(b)复杂扇区(据参考文献[12]修改)

Fig.2 The predicted number of aircraft after airspace reconfiguration in simple sectors and complex sectors
(a) Simple Sectors; (b) Complex Sectors (modified after reference[12])

图3 日本东京国际机场空域和航线扇区边界更改及空域重构方案(据参考文献[23]修改)

Fig.3 A basic plan of airspace & sector boundary changes and airspace reconfiguration for TIA (modified after reference[23])

[1]	Lu Zi, Du Xinru.The theoretical sources,innovation of methodologies and practice of the exploitation and utilization of airspace in western countries[J]. Advances in Earth Science, 2015, 30(11): 1 260-1 267.
	[路紫, 杜欣儒. 国外空域资源开发利用的理论基础、方法论变革与实践[J]. 地球科学进展, 2015, 30(11): 1 260-1 267.]
[2]	Cindy F, Jonathan B, Robert M,et al.Enhancing the security of aircraft surveillance in the next generation air traffic control system[J]. International Journal of Critical Infrastructure Protection, 2013, 6(1): 3-11.
[3]	Du Xinru, Lu Zi.The application of ICTs in airspace management and collaborative decision-making—Analyzing the risk avoidance in the condition of risky weather as an example[J]. Advances in Earth Science, 2016, 31(3): 269-276.
	[杜欣儒, 路紫. 信息通信技术在空域协同管理决策中的应用——以危险天气条件下风险规避分析为例[J]. 地球科学进展, 2016, 31(3): 269-276.]
[4]	Homola J, Lee P U, Prevot T,et al.A human-in-the loop exploration of the dynamic airspace configuration concept[C]∥AIAA Guidance, Navigation, and Control (GNC) Conference and Exhibit, 2010.
[5]	Jiangjun T, Sameer A, Chris L,et al.A multi-objective approach for Dynamic Airspace Sectorization using agent based and geometric models[J]. Transportation Research Part C: Emerging Technologies,2012, 21(1):89-121.
[6]	Mitchell J S B, Sabhnani G, Krozel J,et al. Dynamic airspace configuration management based on computational geometry techniques[C]∥AIAA Guidance, Navigation, and Control Conference,2008.
[7]	Yousefi A, Donohue G L, Sherry L.High-volume Tube-Shape sectors (HTS):A network of high capacity ribbons connecting congested city pairs[C]∥Digital Avionics Systems Conference, 2004.
[8]	Xue M.Airspace sector redesign based on Voronoi diagrams[J].Journal of Aerospace Computing, Information, and Communication, 2009, 6(12): 624-634.
[9]	Leiden K, Peters S, Quesada S.Flight level-based dynamic airspace configuration[C]∥Proceedings of the 9th AIAA Aviation Technology, Integration and Operations (ATIO) Forum. American Institute of Aeronautics and Astronautics, 2009.
[10]	Wang T, Li J, Wei J,et al. Preliminary assessment of operational benefits for a graph-based Dynamic Airspace Configuration algorithm[C]∥Integrated Communications Navigation and Surveillance Conference (ICNS), 2010.
[11]	Lee P U, Prevot T, Homola J,et al.Sector design and boundary change considerations for Flexible Airspace Management[C]∥10th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference. Fort Worth, TX, 2010.
[12]	Homola J, Lee P U, Brasil C,et al.Human-in-the-loop investigation of airspace design[C]∥AIAA Guidance, Navigation, and Control Conference. Portland, Oregon, 2011.
[13]	Jung J, Lee P, Kessell A,et al.Effect of dynamic sector boundary changes on air traffic controllers[C]∥AIAA Guidance, Navigation, and Control (GNC) Conference and Exhibit. Toronto, Canada, 2010.
[14]	Homola J, Lee P U, Prevot T,et al.A human-in-the loop exploration of the Dynamic Airspace Configuration concept[C]∥AIAA Guidance, Navigation, and Control (GNC) Conference and Exhibit. Toronto, Canada, 2010.
[15]	Klein A, Rodgers M D, Kaing H.Dynamic FPAs: A new method for Dynamic Airspace Configuration[C]∥Integrated Communications, Navigation and Surveillance Conference, 2008.
[16]	Yousefi A, Khorrami B, Hoffman R,et al.Enhanced Dynamic Airspace Configuration Algorithms and Concepts[Z]. Metron Aviation Inc., 2007.
[17]	Tang J, Alam S, Lokan C,et al.A multi-objective approach for dynamic airspace sectorization using agent based and geometric models[J]. Transportation Research Part C: Emerging Technologies, 2012, 21(1): 89-121.
[18]	Kopardekar P, Magyarits S.Measurement and prediction of dynamic density[C]∥Proceedings of the 5th USA/Europe Air Traffic Management R & D Seminar, 2003.
[19]	Xue M.Three-dimensional sector design with optimal number of sectors[J].Journal of Guidance, Control, and Dynamics, 2012, 35(2): 609-618.
[20]	Dimitis B, Shubham G, Guglielmo L.Dynamic resource allocation: A flexible and tractable modeling framework[J]. European Journal of Operational Research, 2014, 236(1): 14-26.
[21]	Sergeeva M, Delahaye D, Mancel C.3D airspace sector design by genetic algorithm[C]∥Models and Technologies for Intelligent Transportation Systems (MT-ITS) International Conference, 2015.
[22]	Kopardekar P, Bilimoria K D, Sridhar B.Airspace configuration concepts for the next generation air transportation system[J].Air Traffic Control Quarterly, 2008, 16(4): 316-336.
[23]	Noriyasu T.An airspace design and evaluation of enroute sector by air traffic control simulation experiments[J].Electronics and Communications in Japan, 1996, 79(8): 103-113.
[24]	Dimitis B, Shubham G, Guglielmo L.Dynamic resource allocation: A flexible and tractable modeling framework[J].European Journal of Operational Research, 2014, 236(1): 14-26.
[25]	Xue M.Three-dimensional sector design with optimal number of sectors[J].Journal of Guidance Control and Dynamics, 2012, 35(2): 609-618.
[26]	Paradiso M.Communications mode(l)s and disasters: From word of mouth to ICTs[J]. Networks and Communication Studies, NETCOM, 2010, 25(3/4): 181-200.
[27]	Jiangjun T, Sameer A, Chris L,et al.A multi-objective approach for Dynamic Airspace Sectorization using agent based and geometric models[J]. Transportation Research Part C: Emerging Technologies, 2012, 21(1): 89-121.
[28]	Lu Zi, Li Zhiyong, Zhang Qiuluan,et al.Introduction to Airspace[M]. Beijing: Higher Education Press, 2016.
	[路紫, 李志勇, 张秋娈,等. 空域学概论[M]. 北京: 高等教育出版社, 2016.]
[29]	Steenbruggen J, Nijkamp P, Smits J M, et al.Traffic incident and disaster management in the Netherlands: Challenges and obstacles in information sharing[J].Networks and Communication Studies, NETCOM, 2012, 26(3/4): 169-200.

[1]	路紫, 杜欣儒. 国外空域资源开发利用的理论基础、方法论变革与实践[J]. 地球科学进展, 2015, 30(11): 1260-1267.

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