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中文摘要：
终端区交通态势的日益拥挤，一定程度上造成航班的延误，给航空公司及旅客带来了极大损失。为了对终端区交通拥挤进行有效的识别和疏导，对终端区交通态势进行了研究。通过采集的雷达数据，提取影响终端区交通态势的属性指标，运用模糊C-均值聚类（FCM）方法建立了终端区交通态势识别模型，模型可快速准确地识别交通态势。以某终端区为例，验证了模型的有效性。
英文摘要：
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 ter- minal area, in order to effectively identifying and diverting. The identification model, which using fuzzy C- means clustering （FCM）method to establish the traffic situation of terminal area over the airport recogni- tion 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 vali- date it.
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