Flight Passenger Load Factors Prediction Based on RNN Using Multi-Granularity Time Attention

Accurate prediction of Flight Passenger Load Factors(FPLFs) helps in addressing overbooking and overserving of the flight seats.However,traditional time series-based prediction methods only focus on variation feature of recent daily FPLFs and ignore impacts of other factors,leading to limited predic...

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Bibliographic Details

Published in:	Jisuanji gongcheng
Main Author:	DENG Yujing, WU Zhihao, LIN Youfang
Format:	Article
Language:	English
Published:	Editorial Office of Computer Engineering 2020-01-01
Subjects:	flight passenger load factors(fplfs) prediction|time series prediction|recurrent neural network(rnn)|attention mechanism|encoder-decoder model
Online Access:	https://www.ecice06.com/fileup/1000-3428/PDF/20200141.pdf