Method and system for predicting passenger rate benchmark

Abstract

The invention discloses a method and a system for predicting a passenger rate benchmark, and the method comprises the following steps: determining a core original variable in basic data of a data source, wherein the basic data of the data source represents a basic data set affecting the change of the passenger flow rate; performing data preprocessing on the core original variable to obtain a target data variable; processing the target data variable by using a preset regression model to obtain a target prediction variable; performing parameter adjustment on the target prediction variable to obtain a fitting model, and analyzing the fitting model to determine a regression equation; and taking the actual passenger flow rate as an input value of a regression equation, and predicting the targetpassenger flow rate of the prediction time in real time to obtain a prediction value of the target passenger rate. According to the invention, the real-time prediction of the passenger rate change isrealized, and the accuracy of the passenger rate prediction is improved.

Description

Technical field [0001] The present invention relates to the field of information processing technology, in particular to a method and system for passenger load factor benchmark prediction. Background technique [0002] Flight load factor is an important indicator to measure the efficiency of airline operations and an important basic data for predicting airline revenue. In the aviation market, when the flight schedule is confirmed, there are often passengers who cannot board the plane as scheduled after being ordered, resulting in wasted activities and a reduction in passenger load factor, causing huge economic losses for airlines and causing revenue loopholes. Most airlines reduce the risk of passenger load factor reduction by designing overbooking models, but overbooking control has a greater risk of refusal. [0003] In order to make up for the revenue loopholes, the current air travel system adjusts the oversell model by providing load factor statistics, monitoring and query se...

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Problems solved by technology

[0004] But in fact, the passenger load factor of a flight is often closely related to the route, departure time, international and domestic factors, etc., and the passenger load factor threshold is usually fixed, so real-time prediction of the passenger load factor benchmark cannot be realized in actual management , making the prediction of passenger load factor inaccurate

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