Flight plan automatic arrangement method

Abstract

The invention is applicable to the technical field of operational research algorithms, and provides a flight plan automatic arrangement method, which comprises the following steps: firstly, inputtingdata into an arrangement model, then setting parameters of the arrangement model, the parameters comprising solution precision parameters for optimizing the model, and the arrangement model optimallyarranging a flight plan according to the data and the parameters; finally, outputting an orchestration result, wherein the arrangement result comprises a flight plan, a moment change condition of eachairport and a flight change report; establishing a large-scale mixed integer programming model; calculating an optimal flight plan after the newly added air route; wherein the main decision variableis a binary variable and represents whether a certain flight takes off at a certain moment through a certain airplane type. The method helps an airline company to arrange an executable flight plan combined with income prediction by using an operational research algorithm, can play a due role for a long time, and generates a high input-output return.

Description

technical field [0001] The invention belongs to the field of operational research algorithms, in particular to a method for automatically arranging flight plans. Background technique [0002] When airlines obtain new time resources / reform routes / open new routes, they need to arrange flights, but the time resources cannot completely arrange flights according to the established time points, and the existing capacity gaps cannot just accommodate new flights. Relying on manual scheduling, when the scale of the flight is relatively large, it is impossible for humans to calculate a reasonable and better solution, thus losing valuable profit margins. Contents of the invention [0003] The invention provides a flight plan automatic arrangement method, which aims at helping airline companies to prepare an executable flight plan combined with revenue forecast by using an operational research algorithm. In addition, the action of flight scheduling occurs very frequently within the a...

AI Technical Summary

Problems solved by technology

[0002] When airlines obtain new time resources / reform routes / open new routes, they need to arrange flights, but the time resources cannot completely arrange flights according to the established time points, and the existing capacity gaps cannot just accommodate new flights. Relying on manual scheduling, when the scale of the flight is relatively large, it is impossible to calculate a reasonable and optimal solution manually, thus losing valuable profit margins

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