Flight departure and arrival rate prediction method and device

Abstract

The invention provides a flight departure and departure rate prediction method and device, and the method comprises the steps: carrying out the classification of the meteorological conditions of an airport according to the cloud bottom height and visibility, and building a first departure and departure rate function model of a flight under different meteorological conditions; optimizing the firstentrance rate function model and the first departure rate function model by adopting an opportunity constraint optimization model according to the historical data set of the airport, and establishinga second entrance rate function model and a second departure rate function model of the flight; obtaining the current meteorological condition of the airport, and selecting a corresponding second entrance rate function model and a corresponding second departure rate function model under the current meteorological condition; and obtaining a predicted entrance rate and a predicted departure rate ofthe airport flights. On the basis of an airport historical data set, the entrance and departure rate function model of the flights is established, and the entrance and departure rate of the flights can be accurately predicted.

Description

technical field [0001] The invention relates to airport operation management technology, in particular to a method and device for predicting the arrival and departure rate of flights. Background technique [0002] Airport operation management technology is the core technology to ensure that flights enter and exit the airport safely, efficiently and orderly. Accurately predicting the number of flights entering and leaving the airport per unit time, that is, accurately predicting the arrival and departure rate of flights is a prerequisite for improving the efficiency of airport operation and management. [0003] In the prior art, based on the entry and exit time of the flight plan, the flight entry and departure rate per unit time is calculated, because the flight entry and departure rate is affected by various random factors, especially different meteorological conditions such as cloud base height, visibility The existing technology further corrects the arrival and departure...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, based on the entry and exit time of the flight plan, the flight entry and departure rate per unit time is calculated, because the flight entry and departure rate is affected by various random factors, especially different meteorological conditions such as cloud base height, visibility The existing technology further corrects the arrival and departure rate of flights through artificial experience. For example, when encountering fog and haze, it is predicted that the arrival and departure rate of flights will drop by 20%; 10% drop in departures

[0004] The existing technology lacks solid theoretical guidance and information technology support for the prediction of flight arrival and departure rates, resulting in a large deviation between the prediction results and the actual flight arrival and departure rates, which cannot meet the needs of refined operation management of large airports. , there is an urgent need to provide an automated method for flight arrivals and departures under multiple weather conditions to accurately predict the arrival and departure rate of airport flights

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