Flight passenger flow rate prediction method based on multi-granularity time attention mechanism

A technology of attention and passenger load factor, applied in forecasting, neural learning methods, instruments, etc., can solve problems that cannot be considered at the same time
CN110288121AInactive Publication Date: 2019-09-27BEIJING JIAOTONG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING JIAOTONG UNIV
Publication Date
2019-09-27
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention provides a flight passenger flow rate prediction method based on a multi-granularity time attention mechanism. The method comprises the following steps of: constructing a recurrent neural network model based on a multi-granularity time attention mechanism; taking the historical flight passenger rate time sequences of all take-off moments on the air route as input sequences of the encoders, enabling the encoders to encode the input sequences, enabling the decoders to decode the coded information output by the encoders, and obtaining a flight passenger rate time sequence of the target flight. According to the method, the time sequence dependence of flight passenger rates at different take-off moments and the influence of the flight passenger rates at other take-off moments on the target flight passenger rate in the air route where the target flight is located are captured through the take-off moment attention mechanism, and meanwhile the trend and periodicity of the passenger rate sequence of the target flight are captured through the take-off day attention mechanism; and the influence of external factors such as flight attributes and holidays and festivals is considered, so that the model has a good effect on flight passenger flow rate prediction.
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Description

technical field

[0001] The invention relates to the technical field of flight passenger load factor prediction, in particular to a flight passenger load factor prediction method based on a multi-granularity time attention mechanism. Background technique

[0002] With the rapid growth of civil aviation passengers, the demand forecast of air passenger transportation is more and more concerned by airlines, ticket agents, aircraft manufacturers and other civil aviation-related enterprises. Air passenger traffic demand forecasting includes airline passenger traffic demand forecasting, airport passenger traffic demand forecasting, airline market share forecasting, and flight passenger traffic demand forecasting. Airline passenger traffic demand forecasting is a finer-grained demand forecasting, and it is the basis of airline seat optimization control and pricing strategy.

[0003] For the air passenger transportation market, the passenger load factor of a flight is an important i...

Claims

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