Forecasting passenger load for a fixed planning horizon |
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Authors: | Samer S Saab Pierrette P Zouein |
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Institution: | a Electrical and Computer Engineering Department, Lebanese American University, PO Box 36, Byblos, Lebanon;b Industrial Engineering Department, Lebanese American University, P.O. Box-36, Byblos, Lebanon |
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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. |
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Keywords: | Air traffic demand Kalman filter Forecasting |
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