Application of fuzzy clustering analysis in air traffic models

Aiming at the deficiencies of aircrafts classification in air traffic models, a new classification method based on fuzzy clustering analysis is proposed. First, different factors correlative with aircrafts classification are analyzed, and the aircrafts classification model based on ISODATA algorithm is established. Then current mainstream civil aircrafts are classified by using this method, and the priority and delay cost for each class are given. Finally, the new classification result is implemented in sequencing problems of flights in terminal area. Simulation results indicate that the proposed method is conducive to arrange the sequence of arrival/departure flights reasonably and reduce the expenses of flight delays.