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Method for identifying self-organizing critical characteristic of air traffic system

A self-organizing critical, air traffic technology, applied in the field of air traffic, to achieve the effect of good management level, increase backup capacity, reduce the impact and loss of flight delays and cancellations

Active Publication Date: 2019-11-26
CIVIL AVIATION UNIV OF CHINA
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Problems solved by technology

However, no in-depth research on flight delays in air traffic systems using self-organization theory has been found

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  • Method for identifying self-organizing critical characteristic of air traffic system
  • Method for identifying self-organizing critical characteristic of air traffic system
  • Method for identifying self-organizing critical characteristic of air traffic system

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Embodiment Construction

[0052] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.

[0053] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0054] Taking the air traffic system as the research object, the data of flight delays and flight cancellations in mainland China are collected on a daily basis, and their behavioral characteristics in space and time scales are analyzed. For statistical data in log-logarithmic coordinates, use fractal theory to analyze its scale-frequency power-law characteristics, and judge whether it presents self-organized criticality; analyze the domestic air traffic from the slope of the system's scale-frequency power-law characteristic curve The system's management level of flight delays and flight cancellations; apply the R / S method to process the sequence data of national flight delays and flight...

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Abstract

The invention provides a method for identifying self-organizing critical characteristics of an air traffic system. In order to reveal an internal dynamics mechanism of flight delay and flight cancel from a global perspective, characteristic analysis is carried out on the air traffic system. The method comprises the following steps: firstly, researching the extensive dissipativity of an air trafficsystem, the scale-frequency power law characteristics of flight delay and flight cancel and the Hurst index of the scale-frequency power law characteristics; then, judging management levels of flightdelay and flight cancel by adopting a power law characteristic straight slope; and finally, according to the Hurst index, analyzing the flight delay of the system, and cancelling the correlation andevolution rule of the flight in the self-organizing critical state. Results show that the air traffic system has self-organizing criticality, the management level of system flight delay is superior tothat of flight cancellation, and flight delay and flight cancel have time long-range correlation and are shown as negative evolution and positive evolution respectively.

Description

technical field [0001] The invention belongs to the technical field of air traffic, in particular to an identification method for self-organized critical characteristics of an air traffic system. Background technique [0002] The air traffic system is a complex system. The airports, air routes and control sectors in the system are tightly coupled to complete the aircraft transportation function, and it is more and more common for a small disturbance in the operation to cause a large-scale flight delay. System complexity and spatiotemporal correlation. Therefore, it is of great practical significance to explore the internal correlation mechanism between the air traffic system and flight delays. [0003] Self-organization theory is an important part of modern system science and nonlinear science. Foreign scholars Bak P, Tang C, Wiesenfeld K first proposed the concept of self-organized criticality, and explained through cellular automata and sandpile models that a small distu...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/30
CPCG06Q10/063G06Q10/0631G06Q50/40
Inventor 王兴隆刘洋赵嶷飞齐雁楠潘维煌
Owner CIVIL AVIATION UNIV OF CHINA
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