A Method for Evaluating Airspace Macroscopic Capacity Based on Stochastic Service Theory

A stochastic service and capacity evaluation model technology, which is applied in the field of airspace macro capacity evaluation based on stochastic service theory and air space macro capacity evaluation. problems, to achieve the effect of shortening the evaluation time

Inactive Publication Date: 2018-12-11
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

The traditional simulation evaluation method has a long evaluation period and the interval model calculation method cannot meet the "accurate and real-time" requirements, and the complexity model calculation method needs to master the operation details of the airspace, which exceeds the data acquisition capabilities of the national airspace management department

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  • A Method for Evaluating Airspace Macroscopic Capacity Based on Stochastic Service Theory
  • A Method for Evaluating Airspace Macroscopic Capacity Based on Stochastic Service Theory
  • A Method for Evaluating Airspace Macroscopic Capacity Based on Stochastic Service Theory

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Embodiment Construction

[0033] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0034] The airspace system is regarded as a closed "black box", the aircraft arrival flow is taken as the input, and the flight time in the airspace is taken as the output. According to the stochastic service system theory, the maximum number of aircraft that can be controlled in the airspace at the same time is determined through data mining; At the same time, the maximum number of aircraft and the standard flight time of aircraft in the airspace are controlled, and the macro capacity of the airspace is calculated. This method does not need to study the details of aircraft activities inside the "black box". By mining and analyzing airspace activity data, a calculation method for airspace macroscopic capacity based on flight time is established. The specific steps are as follows:

[0035] like figure 2 As shown, a method for airspace macro-capaci...

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Abstract

The invention discloses an airspace macroscopic capacity evaluation method based on a random service theory. The airspace macroscopic capacity evaluation method comprises the following steps: acquiring the moment that an aircraft enters and leaves an airspace in a target airspace; counting and calculating a probability density distribution function parameter of arriving flow (entering the airspace) and service time (the time the aircraft flies in the airspace); establishing an airspace macroscopic capacity evaluation model according to a system random service theory; confirming the maximum number of aircrafts which are managed by an airspace system simultaneously according to airspace system mass historical operation data and airspace system macroscopic capacity evaluation model; according to the standard flying time of the aircrafts in the airspace and the maximum number of the aircrafts which are managed by the airspace system simultaneously, calculating the macroscopic capacity of the airspace system by using the airspace macroscopic capacity evaluation model.

Description

technical field [0001] The invention relates to a method for assessing macroscopic capacity of airspace, in particular to a method for evaluating macroscopic capacity of airspace based on stochastic service theory, and belongs to the field of macroscopic capacity assessment. Background technique [0002] The methods for determining airspace capacity mainly include simulation evaluation method, interval model calculation method, and complexity model calculation method. [0003] The simulation evaluation method to determine the airspace capacity is completed by establishing the characteristic model of the air traffic system, and conducting computer simulation tests and data analysis on it. This method requires a lot of work such as system modeling, programming, simulation calculation and result analysis, and the evaluation task is heavy and the cycle is too long. What's more, because the built simulation model can't fully consider the controller's control skills, command habi...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50
CPCG06F30/367
Inventor 孙樊荣王里付杨嘉
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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