Dynamic classification method of airport scene congestion level

Abstract

The invention discloses an airport scene congestion grade dynamic division method. Through integral analysis of influencing factors of airport scene congestion activities, airport scene congestion indexes are extracted from a micro perspective and a macro perspective, an airport scene congestion grade is dynamically divided, by taking each aircraft of an airport in any one operation time period and each timeslice as a management object, the airport scene congestion grade is finely dynamically divided, key index critical values corresponding to various scene congestion grades are determined, and thus the method has great significance for scientific grasp of airport scene congestion behavior feature and evolution rules, clearing concrete quantification representations of various congestion factors under the different scene congestion degrees and the like. The method realizes fine dynamic division of the airport scene congestion grade at a real-time operation level and effectively solves the technical problems of extensive airport scene congestion grade management and quantification difficulty.

Description

Technical field: [0001] The invention relates to an airport scene congestion management method, in particular to a method for dynamically classifying airport scene congestion levels, and belongs to the field of airport flight area operation management and control. Background technique: [0002] As a key node of the air transport network and the starting point, end point, and stopover point of aircraft operations, the airport's scene congestion will have an important impact on the efficiency of air traffic operations. With the continuous expansion of the airport surface network, the increasingly dense flight traffic and the increasingly diverse management modes, the high-frequency airport congestion and surface conflicts have become the key bottlenecks restricting the safe, efficient and smooth operation of air transport airports. How to accurately identify the key influencing factors of airport surface congestion, dynamically evaluate and classify airport aircraft surface co...

AI Technical Summary

Problems solved by technology

In a highly complex, random and dynamic airport operating environment, due to the inability to conduct quantitative analysis and fine management of scene congestion behavior at the real-time operation level, it is difficult for air traffic management personnel and airport operation commanders to accurately and quickly grasp the airport scene congestion situation, As a result, the implementation effect of the formulated airport operation resource allocation plan and air traffic allocation measures cannot effectively meet the actual needs of scene congestion dissipation and aircraft operation conflict relief

[0004] At present, there are very few technical achievements in the dynamic classification of airport congestion levels at home and abroad, and there are still some gaps in the field

Images