Control tower control effectiveness evaluation index association relationship analysis method

Abstract

The invention provides a control tower control effectiveness evaluation index association relationship analysis method, which comprises the following steps of: firstly, cleaning original data, removing abnormal values and repeated values, and filling missing values; selecting a part of calculable representative indexes of the air traffic control tower based on a process method, establishing a maximum interaction information method non-parametric model between the index pairs, and solving a maximum information coefficient (MIC) to determine the correlation strength between the indexes; and identifying the associated direction in an assisted manner according to a Spearman correlation coefficient method, and finally, obtaining the air traffic control tower index association relationship. By using the Spearman correlation coefficient method, the problem that the maximum nonparametric model cannot determine the correlation direction between the indexes is solved, the limitation and accuracyof the Spearman correlation coefficient method for judging the correlation degree between the nonlinear indexes are improved through the maximum nonparametric model, and a foundation is laid for improving the control efficiency of a control tower.

Description

technical field [0001] The invention belongs to the field of air traffic evaluation, and in particular relates to a method for analyzing the association relationship of tower control efficiency evaluation indexes. Background technique [0002] The correlation analysis method of tower control effectiveness index is a key step in the evaluation process. The selection of evaluation index should take into account the principles of scientificity, independence, and applicability of the index; and the calculation of the index correlation is to analyze the degree of correlation between the indicators. Only by reducing the dimensionality or simplifying the indicators with a high degree of correlation in the later stage can the principle of independence of the indicators be guaranteed, and the calculation of repeated factors will lead to distortion of the evaluation results. At present, the calculation of correlation in the field of air traffic control mostly adopts linear relationshi...

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Problems solved by technology

At present, the calculation of correlation in the field of air traffic control mostly adopts linear relationship methods such as Pearson correlation coefficient method and spearman correlation coefficient method. There are linear correlation, nonlinear correlation and functional correlation, but the maximum mutual information method cannot obtain the correlation direction between indicators, so the confirmation of the correlation direction is still judged by the traditional method, and the degree of correlation is more accurate using the maximum interaction Calculation between indicators by information method

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