Abstract
The elevator group control system is a problem where new approaches are being used to optimize the cab assignment problem. Soft Computing methods can be useful to assist the existing dispatching algorithm, predicting the passengers stop floor, or detecting the type of traffic pattern (up-peak, down-peak, inter-floor). In this work, neural networks has been used for predicting from where is going to come the next hall call and then this information is used to park the cabs adequately. An evaluation is carried out, using Dynamic Sectoring algorithm and different service time analyzed. The results show that service level can be improved using neural network for the demand prediction.
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© 2011 Springer-Verlag Berlin Heidelberg
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Beamurgia, M., Basagoiti, R. (2011). Predicting the Passenger Request in the Elevator Dispatching Problem. In: Corchado, E., Snášel, V., Sedano, J., Hassanien, A.E., Calvo, J.L., Ślȩzak, D. (eds) Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011. Advances in Intelligent and Soft Computing, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19644-7_41
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DOI: https://doi.org/10.1007/978-3-642-19644-7_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19643-0
Online ISBN: 978-3-642-19644-7
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