Forecast of Air Routes Market Share Based on Long Short-Term Memory Network

DENG Qin; DUAN Peng; QIU Wenhui

Volume 35 Issue 1

Mar. 2021

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DENG Qin, DUAN Peng, QIU Wenhui. Forecast of Air Routes Market Share Based on Long Short-Term Memory Network[J]. Journal of Shanghai University of Engineering Science, 2021, 35(1): 61-66, 74.

Citation:

DENG Qin, DUAN Peng, QIU Wenhui. Forecast of Air Routes Market Share Based on Long Short-Term Memory Network[J]. Journal of Shanghai University of Engineering Science, 2021, 35(1): 61-66, 74.

DENG Qin, DUAN Peng, QIU Wenhui. Forecast of Air Routes Market Share Based on Long Short-Term Memory Network[J]. Journal of Shanghai University of Engineering Science, 2021, 35(1): 61-66, 74.

Citation:

DENG Qin, DUAN Peng, QIU Wenhui. Forecast of Air Routes Market Share Based on Long Short-Term Memory Network[J]. Journal of Shanghai University of Engineering Science, 2021, 35(1): 61-66, 74.

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Forecast of Air Routes Market Share Based on Long Short-Term Memory Network

1.
Hangzhou Pi-Solution Information Technology Company Limited, Hangzhou 311121, China
2.
China Southern Airlines Company Limited, Guangzhou 510406, China

Received Date: 2020-11-27
Publish Date: 2021-03-30

Abstract

Abstract

The mainstream forecast method of air route market share is quality of service index (QSI) model currently, but this method needs model linearization and a lot of manual experience. An airline market share forecasting model based on long short-term memory network was proposed. The model was used to forecast the flight market share, and the validity of the model was verified by experiments on simplified data sets. Taking root mean square error as the evaluation index, the parameters of the model were optimized, and the prediction accuracy of the three methods, such as capacity prediction, QSI model and the proposed prediction model, was tested respectively. Experimental results show that the proposed model can better predict the market share of airlines, and the root mean square error is about 0.1.
- air transport,
- market share prediction,
- quality of service index (QSI) model,
- long short-term memory

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References(17)

References

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