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Research On Sector Optimization Of Airspace Complexity Factors

Posted on:2017-08-05Degree:MasterType:Thesis
Country:ChinaCandidate:J F KangFull Text:PDF
GTID:2322330503995637Subject:Safety science and engineering
Abstract/Summary:PDF Full Text Request
The development of China’s aviation industry is stimulated by the rapid economic growth, and the air traffic flow is increasing. Due to the special management system of our airspace, and the inadequate traffic management technology, the airspace congestion has become a key issue of the development of China’s civil aviation industry. In the whole flight airspace, the airspace structure of airport terminal area is very complex, and the control difficulty is great, which is the key to restrict the airspace flow. In this paper, the terminal area sector is researched, it is based on the existing airspace structure, and optimizes the configuration of the sector. On the one hand, this is in line with the needs of future airspace flexibility and diversification, on the other hand, the development of aviation transportation industry is also promoted. Therefore, it is very important to find out a reasonable and effective method of the airspace planning.In this paper, the existing sector division method was referenced, and some improvements were made for the relevant research. Firstly, the influence factors were obtained by analysising the airspace complexity. If all the factors were considered, the research progress would be affected seriously, and a great relationship was existed between these factors. Therefore, the principal component analysis method was used to analyze these factors, the idea of dimension reduction made that the multi variables were transformed into a few comprehensive variables, and the main factors were obtained. This would make preparation for the establishment of sector optimization model. Secondly, the Delaunay triangulation and Voronoi diagram were used to divide the terminal area airspace. According to the main factors of the airspace complexity, the objective function model was established. After that, via the basic principle of sector division, the constraint condition was generated. The improved search algorithm was used to optimize the Chengdu terminal area, so as to achieve the goal of sector optimization, reduce the workload of the controllers, and improve the safety of the sector.
Keywords/Search Tags:Air Traffic Management, Sector Division, Airspace Complexity, Principal Component Analysis, Search Algorithm
PDF Full Text Request
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