| 基于FCM的终端区交通态势识别 |
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| 引用本文： | 徐肖豪,任杰,李楠.基于FCM的终端区交通态势识别[J].航空计算技术,2014(1):1-4,8. |
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| 作者姓名： | 徐肖豪 任杰 李楠 |
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| 作者单位： | [1]中国民航大学天津市空管运行规划与安全技术重点实验室,天津300300 [2]南京航空航天大学,江苏南京210016 |
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| 基金项目： | 国家自然基金重点项目资助（61039001）;中央高校基本科研业务费专项资助（3122013sY03） |
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| 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。
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| 关 键 词： | 终端区 态势 FCM |
Identification of Terminal Area Traffic Situation Based on FCM |
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| XU Xiao- hao,REN Jie,LI Nan.Identification of Terminal Area Traffic Situation Based on FCM[J].Aeronautical Computer Technique,2014(1):1-4,8. |
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| Authors: | XU Xiao- hao REN Jie LI Nan |
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| Institution: | 1. Tianjin ATC Operational Planning and Safety Technology Laboratory, Civil Aviation University of China, Tianjin 300300, China ;2. Nanjing University of Aeronautics And Astronautics , Nanjing 210016, China) |
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| Abstract: | 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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| Keywords: | terminal area situation FCM |
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