Automatic route network evaluation method, electronic equipment and storage medium

Abstract

The invention discloses an automatic route grid evaluation method, electronic equipment and a storage medium, and the method comprises the steps: reading and processing data source information and travel data, and storing the data source information and travel data to a big data platform; for the travel data, selecting indexes capable of describing the aviation market, analyzing the aviation market in a clustering mode, dividing the aviation market, and calculating parameters of an air route network evaluation market by combining Logistic regression and a deep neural network method in each obtained classification; calling the parameters and the flight plan, and calculating the market share of the journey and the passenger rate of the flight; if the information of a certain flight is manually adjusted, recalculating the index of the flight route aviation market where the flight is located; and judging the category of the cluster of the route network evaluation market where the route islocated in an error quadratic sum mode and storing the category. From the perspective of automation, an original mode based on subjective experience is converted into a calculation mode based on a model, manual intervention is reduced, the transport capacity arrangement of airlines is better adjusted, and high fault tolerance is achieved.

Description

technical field [0001] The invention relates to the technical field of aviation application engineering, in particular to an automatic route grid evaluation method, electronic equipment and a storage medium. Background technique [0002] Under the global aviation network, how to reasonably arrange routes and aircraft types according to the existing capacity of airlines is a very important link to achieve profitability. Arrangement of transport capacity involves the prediction of future market share, and in the context of the global aviation network, including existing markets and potential markets, the number of markets related to a large-scale network airline usually reaches more than 100,000. How to analyze the automated route network in a huge number of markets is an important direction to improve the automatic capacity allocation and realize the sustainable development of airlines. [0003] Traditional market analysis techniques mainly include two types: (1) to analyze ...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the deficiencies of the prior art, one of the purposes of the present invention is to provide an automated route grid evaluation method, which overcomes the problem of strong subjective factors caused by manual processing in the prior art, and adds changes in history and flight plans to the market. Forecast, make integration adjustments, have better fault tolerance

[0006] The second object of the present invention is to provide an electronic device, which overcomes the problem of strong subjective factors caused by manual processing in the prior art, adds changes in history and flight plans to market forecasts, and performs integrated adjustments, which has better fault tolerance

[0007] The third object of the present invention is to provide a storage medium that stores computer programs, overcomes the problem of strong subjective factors caused by manual processing in the prior art, adds changes in history and flight plans to market forecasts, and integrates and adjusts them. better fault tolerance

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