A multi-runway airport entering-flight multi-efficiency optimization ordering method

Abstract

The invention discloses a novel, highly-efficient and dynamic multi-runway airport entering-flight multi-efficiency optimization ordering method aimed at providing a safe, scientific and feasible entering scheme for entering flights at a terminal area. By defining a multi-performance runway distribution evaluation function, runways and entry air lines are allocated and determined; delay distribution is optimized and flight landing time is determined according to a flight comprehensive priority so as to realize airport runway flow uniform distribution, reduce flight entry flight time and flight delay, raise spatial domain resource utilization efficiency, reduce control work load and further raise the operation efficiency of the entering flights in a multi-runway airport.

Description

technical field [0001] The invention relates to the technical field of flight sorting methods, in particular to a multi-efficiency optimization sorting method for arrival flights at multi-runway airports. Background technique [0002] With the continuous growth of air traffic demand, problems such as airspace congestion, large-scale flight delays, and reduced flight punctuality rate continue to emerge. In order to effectively alleviate the contradiction between supply and demand of airspace, domestic and foreign efforts have been continuously intensified to conduct research on airspace and flow management related technologies. Among them, the problem of flight scheduling has always been a hot and difficult point in related research. Most of the current research is to build a multi-objective optimization model and design corresponding intelligent algorithms to solve it, including genetic algorithm, ant colony algorithm, fish swarm algorithm, etc. Although this type of method ...

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Problems solved by technology

Most of the current research is to build a multi-objective optimization model and design corresponding intelligent algorithms to solve it, including genetic algorithm, ant colony algorithm, fish swarm algorithm, etc. Although this type of method can greatly improve the optimization effect, it also has poor stability of the sorting results , low computational efficiency, excessive abstraction of the model, etc.

In practical engineering applications, the classic first come first service (FCFS: first come first service) method is often used for sorting. This type of method has high calculation efficiency, but due to the lack of optimization effect, it is easy to cause excessive delays when the number of flights is large. cause waste of airspace resources

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