Forecasting passenger load for a fixed planning horizon
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 futur...
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| Format: | article |
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2001
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| Online Access: | http://hdl.handle.net/10725/3124 http://dx.doi.org/10.1016/S0969-6997(01)00030-8 http://www.sciencedirect.com/science/article/pii/S0969699701000308 |
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| Summary: | 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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