Air traffic delay prediction method of PR-LSTM algorithm combined with attention mechanism

A technology of air traffic and forecasting method, applied in the field of intelligent transportation, which can solve problems such as stopover, difficulty in overall grasp, complex network structure and dynamics of air traffic flow, etc.

Pending Publication Date: 2021-05-07
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0008] However, the inventors found that the driving traffic flow prediction method is more focused on ground traffic, and air traffic flow is difficult to grasp as a whole due to its more complex network structure

Method used

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  • Air traffic delay prediction method of PR-LSTM algorithm combined with attention mechanism
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  • Air traffic delay prediction method of PR-LSTM algorithm combined with attention mechanism

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Embodiment

[0127] The data in this embodiment is the flight operation information from January 1, 2016 to December 31, 2016, with the starting airport being domestic based on the statistics of Feichangzhun. The fields contained in this data set are: flight number, flight date, flight scheduled departure / arrival time, actual flight departure / arrival time, aircraft type, aircraft registration number, planned departure / arrival airport, actual departure / arrival airport, airline and Flight status and other information.

[0128] 1): Define the delay rate. The definition of delay rate in this example is the definition of flight delay in the new version of the 2016 request for comments. The definition formula is the difference between the actual departure time of the flight and the planned departure time, namely: dep_delay=max(r_dep_time-p_dep_time-15, 0) . Define the average delay rate: the average delay rate is defined as the mean value of all delays within the sampling time, and its formula...

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Abstract

The invention discloses an air traffic delay prediction method of a PR-LSTM algorithm combined with an attention mechanism. The method comprises four modules, namely a PageRank algorithm module, a sequence-to-sequence LSTM (Long Short Term Memory) module, an attention mechanism module and a delay prediction result display and release module. According to the airport delay prediction method, time correlation and spatial correlation of air traffic are considered at the same time, the size of a spatial correlation coefficient is calculated by adopting a PageRank algorithm, multistep prediction of airport delay is realized by adopting a sequence-to-sequence LSTM model, and the prediction precision of the model in multistep prediction is ensured by adopting an attention mechanism.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation, and in particular relates to an air traffic delay prediction method combined with a PR-LSTM algorithm of an attention mechanism. Background technique [0002] In recent years, with the development of the economy and the further improvement of the technical level, people's travel methods have undergone major changes, and air travel has gradually become the choice of travel for ordinary people. In 2018 alone, civil aviation transportation companies in the industry completed 11.5352 million transport flight hours, an increase of 8.9% over the previous year; they completed 611.7377 million passenger trips, a year-on-year increase of 10.9%. [0003] The ever-increasing demand for travel has brought enormous pressure to airlines. In the case of existing airport resources, in order to meet the needs of passengers, airlines can only meet the needs of passengers by continuously increas...

Claims

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Application Information

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IPC IPC(8): G06F16/215G06F16/2458G06F16/248G06N3/04G06N3/08G06Q10/04G06Q50/30
CPCG06F16/215G06F16/2465G06F16/248G06N3/08G06Q10/04G06Q50/30G06F2216/03G06N3/044G06N3/045
Inventor 宋春跃张杰
Owner ZHEJIANG UNIV
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