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Identification of Terminal Area Traffic Situation Based on FCM

XU Xiao-hao;REN Jie;LI Nan;Tianjin ,ATC Operational Planning and Safety Technology Laboratory,Civil Aviation University of China;Nanjing University of Aeronautics And Astronautics;  
Traffic situation of terminal area,which becoming increasingly crowded,to some extent caused flight delays,brought great losses to airlines and passengers. This paper studies the traffic situation of terminal area,in order to effectively identifying and diverting. The identification model,which using fuzzy Cmeans clustering( FCM) method to establish the traffic situation of terminal area over the airport recognition model by collecting radar data and extracting the indicators of traffic situation of terminal area. This model can identify traffic situation quickly and accurately. Take a terminal area as an example and validate it.
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