Chaotic characteristic analysis of control sector traffic indices

Abstract

Abstract: In order to deeply analyze the nonlinear characteristics of air traffic system, the chaotic characteristics of control sector are validated. Chaos theory and correlation analysis method are used for reference. Firstly, the mutual information method and pseudo nearest neighbor method are used to determine the time delay and embedding dimension, important parameters of phase space of the reconstructed time series are confirmed and then the largest Lyapunov index is calculated. Multiple sector samples of a control center are taken as objects, multiple indices are used to reflect the sector's traffic characteristics. Practical data calculating results show that there exists a general phenomenon of chaos in the following indices including number of aircrafts, average length of control, average control time, the number of flat flying aircrafts and minimum vertical spacing.

Key words: control sector, index, chaos, largest Lyapunov exponent

CLC Number:

V350

FENG Cheng, LIU Shuhan, GONG Qian. Chaotic characteristic analysis of control sector traffic indices[J]. .

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