Method and device for predicting arrival and departure rate of flights

Abstract

The invention provides a method and device for predicting the arrival and departure rate of flights. The method includes classifying the meteorological conditions of the airport according to the cloud base height and visibility, and establishing the first arrival rate function model and the first Departure rate function model; according to the historical data set of the airport, and using the opportunity constraint optimization model to optimize the first arrival rate function model and the first departure rate function model, the second arrival rate function model and the first departure rate function model of the flight are established. Two departure rate function models; obtain the current meteorological conditions of the airport, select the corresponding second arrival rate function model and the second departure rate function model under the current weather conditions; obtain the predicted arrival rate and predicted departure rate of airport flights . The invention establishes a flight arrival and departure rate function model on the basis of the airport historical data set, and can accurately predict the flight arrival and departure rate.

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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