Time-series-based full-time airspace conflict detection and resolution method

Abstract

The present invention discloses a novel and efficient full-time airspace conflict detection and release method based on a time sequence. The invention aims to deduce and generate ordered no-conflict flight flow information with the combination of flight scheduling and airspace structural characteristics, the method comprises the steps of collecting data information of a designated airspace, establishing a flight plan set and an airspace point set, and realizing conflict detection and release through state conversion of an aircraft in the airspace based on three-stage cycle deduction of a timesequence, airspace points and a point aircraft sequence. According to the method, a control workflow if fully considered, an individual behavior of the aircraft in the process of conflict detection and release is weakened, the mutual influence between aircrafts in an overall airspace is more concerned, the method is close to an actual control workflow, the uncertainty influences of pre-sorting strategies of different sizes in a current conflict detection and release algorithm on a deduction result are eliminated, thus a deduction result is stable and reliable, a non-backtracking algorithm flowis used, and the execution efficiency of the algorithm is improved.

Description

technical field [0001] The invention relates to a full-time airspace conflict detection and release method, in particular to a full-time conflict detection and release method in a large-scale multi-node airspace. Background technique [0002] As a basic technology, airspace conflict detection and resolution is widely used in 4D trajectory prediction, trajectory planning, airspace capacity assessment, surface operation planning, and flight operation management for arrival and departure. Its research can enhance and improve the current airspace management and Overall performance of the operating system related to flow management. Especially in recent years, with the rapid growth of traffic demand, the contradiction between supply and demand of airspace and hidden dangers of airspace safety have become increasingly prominent, and the research on related technologies of airspace and flow management has been increasing at home and abroad. Most of the current research usually bui...

AI Technical Summary

Problems solved by technology

Most of the current research usually builds optimization models based on different optimization objectives, and selects appropriate intelligent algorithms to solve them, including decision trees, NSGA-II genetic algorithms, particle swarm algorithms, etc.; this type of method can better achieve flight conflict resolution, But at the same time, there are problems such as the algorithm is too complex, the calculation efficiency is low, and the model is too abstract.

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