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Air Traffic Operation Complexity Analysis Based on Metrics System

Air Traffic Operation Complexity Analysis Based on Metrics System
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摘要 In order to quantitatively analyze air traffic operation complexity,multidimensional metrics were selected based on the operational characteristics of traffic flow.The kernel principal component analysis method was utilized to reduce the dimensionality of metrics,therefore to extract crucial information in the metrics.The hierarchical clustering method was used to analyze the complexity of different airspace.Fourteen sectors of Guangzhou Area Control Center were taken as samples.The operation complexity of traffic situation in each sector was calculated based on real flight radar data.Clustering analysis verified the feasibility and rationality of the method,and provided a reference for airspace operation and management. In order to quant itatively analyze air traff ic operat ion complexi ty, mul t idimensional metrics were selected based on the operational characteristics of traffic flow. The kernel principal component analysis method was utilized to reduce the dimensionality of metrics,therefore to extract crucial information in the metrics. The hierarchical clustering method was used to analyze the complexity of different airspace. Fourteen sectors of Guangzhou Area Control Center were taken as samples. The operation complexity of traffic situation in each sector was calculated based on real flight radar data. Clustering analysis verified the feasibility and rationality of the method, and provid-ed a reference for airspace operation and management.
出处 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2016年第4期461-468,共8页 南京航空航天大学学报(英文版)
基金 co-supported by the National Natural Science Foundation of China(No.61304190) the Fundamental Research Funds for the Central Universities of China(No.NJ20150030) the Youth Science and Technology Innovation Fund(No.NS2014067)
关键词 operation complexity traffic metrics kernel primary component analysis hierarchical clustering operation complexity traffic metrics kernel primary component analysis hierarchical clustering
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