Research On Busy Level Classification Of Airspace Based On Complexity

Under the circumstances of steady and rapid development of civil air transport and the demand for transportation on airspace increase recently.The complexity in air traffic system increase gradually with the transport turnover grown up,which could cause an imbalance between demand and supply in air traffic control services and eventually cause serious congestion and delays.It have been becoming a hot topic in civil aviation industry on how to quantify the complexity of airspace,accurately evaluate the complexity,and achieve the classification of airspace complexity level.Based on the complexity theory,probability theory and mathematical statistics,gray system,data mining and other related technologies,this thesis focuses on the complexity calculation model and the core problem of spatial level busyness recognition based on complexity,and carries out related theoretical methods and practical application research.The main research contents are as follows: Firstly,this paper developed the traffic complexity model of airspace unit by synthesizing the static influence of airspace structure and network and the dynamic affection caused by traffic flow operation.Meanwhile,investigate a comprehensive index model that can reflect the complexity of airspace unit based on this model.Secondly,the time series of indicators and complexity for busyness are constructed.The kernel density estimation method is used to select the Gaussian kernel to estimate the probability density function curve of the index.Then,divide the integral area according to probability density function,and the index threshold corresponding to the complexity level can be obtained.Finally,combined with the concept of gray system,gray clustering analysis is carried out according to the selected indicators and their thresholds.The complexity threshold corresponding to the busy level is obtained by mathematical statistical analysis.In this paper,the complexity classification method is developed by establishing traffic complexity comprehensive index model with aiming at precisely air traffic control to quantify the complexity of airspace units.The research results are applied to the actual traffic operation scenarios based on actual historical data.The research results show that the model can realize the classification of the busyness level of airspace units based on traffic complexity,and provide reference and experience to controllers in actual work.