Fuzzy interaction prediction for air traffic flow management
ZERROUKI ; BOUCHON-MEUNIER ; FONDACCI ; SELLAM
Type de document
COMMUNICATION AVEC ACTES INTERNATIONAL (ACTI)
Langue
anglais
Auteur
ZERROUKI ; BOUCHON-MEUNIER ; FONDACCI ; SELLAM
Résumé / Abstract
The paper presents a model that attempts to protect in real-time a large-scale air traffic system against overload. It shows how to overcome the computational complexity using distributed control units co-ordinated by an upper level. A modified interaction prediction method is developed using a fuzzy model. This model provides the interaction prediction of the control units on the basis of imprecise information in order to decrease the multiple data transfer between the control and co-ordination levels. Time complexity of the fuzzy model is also studied the antagonistic goals of reducing inference time of the fuzzy rule-base and increasing the accuracy of the interaction prediction is commented. Classical fuzzy inference models and rule interpolation techniques are then compared.
