Airplane departure release sorting method based on dynamic simulation

Abstract

The invention discloses an airplane departure release sorting method based on dynamic simulation. The method comprises the steps of firstly, carrying out high-precision simulation of all airplanes close to release time in an airport, and predicting accurate time when the airplanes arrive at a runway entrance; and then, according to difference of expected runway entrance arrival time of the airplanes, considering meaningless waiting time of the airplanes at the runway entrance, acquiring a more optimized release sequence by changing a release sequence of the airplanes and allowing that later-applied airplanes can firstly release so that taxiing waiting time of the airplanes can be minimized, taxiing way occupation wastes and taxiing oil consumption are reduced and an utilization rate of anairfield runway is increased.

Description

technical field [0001] The invention relates to the technical field of civil aviation traffic operation and management, in particular to a dynamic simulation-based aircraft departure release sorting method. Background technique [0002] In recent years, with the rapid development of my country's civil aviation industry, the supply of runway resources and route resources of trunk airports has gradually exceeded demand. Coupled with the fact that the current air traffic control system is not highly automated and still adopts an inefficient operating mode, flight delays and unnecessary fuel consumption are very serious. [0003] The existing flight departure clearance system generally adopts the first-application-first-release mode. Although it ensures the fairness of the flight clearance sequence, it also brings about the problem of unreasonable ordering of some departures. This mode does not consider whether the aircraft will cause congestion when taxiing to the runway thres...

AI Technical Summary

Problems solved by technology

Most researchers study the release sequencing problem based on static or instantaneous decision-making, and few researchers conduct dynamic simulations

In addition, the simulations are all based on normal conditions, and simulations of special weather and large-scale flow control are rare

[0005] In general, only focusing on the take-off sequence at the intersection of the runway cannot completely reduce the unnecessary fuel consumption of the aircraft during taxiing, and cannot fundamentally avoid a large number of aircraft congestion at the runway

If it is in the peak period, the queuing time of the aircraft will increase accordingly, which will cause greater waste of route resources and greater delays

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