The Research on Positions Distribution in Airport Operation Command Simulation System

Qi Feng Mou; Xi Ren Sun

doi:10.4028/www.scientific.net/AEF.6-7.304

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HomeAdvanced Engineering ForumAdvanced Engineering Forum Vols. 6-7The Research on Positions Distribution in Airport...

The Research on Positions Distribution in Airport Operation Command Simulation System

Abstract:

This paper proposes a new position distribution method——Information Flow Configuration Method Based on Fuzzy Clustering Analysis, aiming at improving the precision and reliability of the airport operation command simulation system. It analyzed samples through the fuzzy clustering method, with the operation command information used as the clustering samples, and 7 kinds of information attribute used as clustering index. Then by using Matlab, it realized the cluster of the command information, and the cluster pedigree chart was drawn as well. At last, the correlation coefficient confirms that this approach is feasible in distributing the positions of the simulation system.

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Periodical:

Advanced Engineering Forum (Volumes 6-7)

Pages:

304-308

DOI:

https://doi.org/10.4028/www.scientific.net/AEF.6-7.304

Citation:

Cite this paper

Online since:

September 2012

Authors:

Qi Feng Mou, Xi Ren Sun

Keywords:

Airport, Fuzzy Clustering, Information Balance, Operation Command, Positions Distribution

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Creative Commons CC BY 4.0

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References

[1] Shanghai Hongqiao International Airport. 2008. The Workbook of Moving Command Center Control Room [Z].

Google Scholar

[2] Assaf. 2009. Accounting for size in efficiency comparisons of airports [J]. Journal of Air Transport Management, 15, 56-258.

DOI: 10.1016/j.jairtraman.2008.10.004

Google Scholar

[3] Hans-Martin Niemeier. 2011. The importance of spatial economics for assessing airport competition [J]. Journal of Air Transport Management, 17, 44-48.

DOI: 10.1016/j.jairtraman.2010.10.010

Google Scholar

[4] Feng Deyi, Lou Shibo. 1983. Fuzzy Mathematics Method and Application [M]. Seismological Press, Beijing (in Chinese).

Google Scholar

[5] Xiong Ying. 2008. The Build of airport information integrated system under mult-terminal operating mode [J]. Science & Technology Information, 33, 3-4.

Google Scholar

[6] Yin Yong, Zhan Shuguang, Liu Wenli. 2011. Study on Chinese new marshalling station classification [J]. Journal of Transportation Engineering and Information, 3, 22-25.

Google Scholar