Efficient intelligent air traffic zoning system
A technology for area division and air traffic, applied in the direction of instruments, character and pattern recognition, data processing applications, etc., can solve problems such as the inability to determine the optimal number of classifications, and achieve the effect of optimizing area division
Active Publication Date: 2019-03-22
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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[0004] However, when the fuzzy c-means clustering algorithm is used alone to divide the air traffic area, there is a defect that the optimal number of classifications cannot be determined
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[0069] see figure 1 , the present invention provides an air traffic area division system based on fuzzy C-means clustering. The air traffic area division system based on fuzzy C-means clustering includes
[0070] The longitude-latitude matrix construction module is suitable for collecting flight ADS-B data and constructing a longitude-latitude matrix; wherein, ADS-B refers to Automatic Dependent Surveillance-Broadcast.
[0071] The model building module is suitable for performing cluster analysis on each data in the longitude-latitude matrix by using fuzzy C-means clustering;
[0072] The optimal cluster calculation module is suitable for calculating the optimal cluster of each data according to the analysis results;
[0073] The aeronautical boundary drawing module is adapted to draw an aeronautical system boundary for each data optimal cluster by cluster edge drawing.
[0074] In this embodiment, the longitude-latitude matrix construction module includes: a data acquisiti...
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The invention relates to an air traffic area division system based on fuzzy C-means clustering. The air traffic area division system based on fuzzy C-means clustering includes: longitude and latitudematrix construction module is suitable for collecting ADS-B data and construct longitude and latitude matrix; The model building module is suitable for clustering analysis of each data in longitude and latitude matrix by using fuzzy C-means clustering. The optimal clustering calculation module is adapted to calculate the optimal clustering of each data according to the analysis results; The aeronautical boundary rendering module is adapted to render the aeronautical system boundary by clustering the best clustering of each data edge. By combining fuzzy C-means clustering algorithm with clustering evaluation index, clustering effectiveness can be effectively evaluated, the best air traffic area division result can be obtained, and the air traffic area division can be optimized.
Description
technical field [0001] The invention relates to air traffic area division, in particular to an air traffic area division system based on fuzzy C-means clustering. Background technique [0002] With the development of the civil aviation industry, the existing airspace resources tend to be saturated, and the air traffic restrictions between countries and regions continue to increase, which reduces the efficiency of aircraft operations and increases flight delays. The correct division of air traffic areas is of great practical significance to the pursuit of efficient collaborative service levels and the enhancement of the ability to optimize the overall allocation of airspace. [0003] The results of the fuzzy c-means clustering algorithm have obvious geometric meaning, and the cluster center is robust to data enlargement or reduction. When applied to the analysis of ADS-B data, its algorithmic advantages can be brought into play. However, when this method is used to divide ai...
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IPC IPC(8): G06Q10/06G06Q50/30G06K9/62
CPCG06Q10/063G06F18/2321G06F18/217G06Q50/40
Inventor 谢华张姝袁立罡张颖陈平赵征王也张洪海李杰王兵
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS