A Congestion Hotspot Airspace Sector Identification Method Based on Multilevel Matter-Element Entropy Weight

Abstract

The present invention discloses a multi-level matter-element entropy weight-based congestion hotspot airspace sector recognition method and belongs to the air traffic management field. The method includes the following steps that: a three-level airspace sector congestion degree evaluation index system including a target level, a dimension level and an index level is established, the calculation or sampling method of indexes is established, evaluation indexes are calculated on the basis of evaluation sector sample selection, and index level threshold judgment is performed according to index numerical value distribution; a multi-level matter-element model is established, association degrees and index weights are calculated, a sector congestion dimension level is judged; and the calculation of a sector congestion dimension weight is determined on the basis of an entropy weight method, and a congestion hotspot airspace sector is recognized. According to the method of the invention, a sector congestion degree is comprehensively judged from a plurality of dimensions, technical support is provided for the research and development of control auxiliary decision-making system tools, and references are also provided for airspace planning, sector adjustment and the like.

Description

technical field [0001] The invention belongs to the field of air traffic management, and in particular relates to a method for identifying sectors of congested hotspot airspace based on multi-level matter-element entropy weights. Background technique [0002] Congested airspace sector identification technology is an important technical basis for airspace planning and sector adjustment. It can effectively guide the implementation of flow management strategies and carry out more targeted management of unbalanced flow capacity. The enhanced flow management system in the United States judges the congestion status of the sector according to the capacity flow relationship by setting the capacity value of the sector. Some foreign scholars use queuing delay time and flight cancellation data to judge airport congestion, or use traffic complexity to describe the degree of congestion. The traffic complexity calculation methods include geometry-based complexity calculations, flight path...

AI Technical Summary

Problems solved by technology

[0003] Purpose of the invention: the technical problem to be solved by the present invention is: aiming at the status quo that airspace sector planning adjustment can only rely on the controller's experience analysis or single index judgment, a comprehensive evaluation method for airspace sector congestion based on a multi-dimensional and comprehensive evaluation index system is proposed , realizing the identification of congested airspace sectors, improving the effectiveness of flow management and airspace management

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