Forecasting passenger load for a fixed planning horizon

Samer S. Saab and Pierrette P. Zouein

Journal of Air Transport Management, 2001, vol. 7, issue 6, 361-372

Abstract: This paper presents a forecasting system for predicting the number of boarding passengers on each of the next N departure dates of a particular flight leg using as input the booking levels made for the next N departure dates of that flight leg. A forecasting system that gives good estimates of future boardings of a particular flight leg is an important and essential tool for route management in the airline industry. The proposed forecasting system consists of a Kalman filter, which optimally integrates a large class of reservation measurements from a variety of sources and at arbitrary times, which is the case of the data, considered here. The accuracy of the predictions for a case study proved to be promising.

Keywords: Air traffic demand; Kalman filter; Forecasting (search for similar items in EconPapers)
Date: 2001
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jaitra:v:7:y:2001:i:6:p:361-372

DOI: 10.1016/S0969-6997(01)00030-8

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