| 随机GHP模型中机场容量混合聚类算法 |
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| 引用本文： | 王飞,徐肖豪.随机GHP模型中机场容量混合聚类算法[J].交通运输工程学报,2011(1):64-68. |
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| 作者姓名： | 王飞 徐肖豪 |
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| 作者单位： | 中国民航大学空中交通管理研究基地; |
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| 基金项目： | 国家自然科学基金项目(60972006); 中央高校基本科研业务费专项资金项目(ZXH2009C005); 天津市应用基础及前沿技术研究计划项目(09JCZDJC16800) |
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| 摘 要： | 为了有效利用机场容量资源,克服现有随机GHP模型中容量预测存在的人为误差,研究了机场容量混合聚类算法.将每天的容量按照30 min间隔划分为多个区间,每个区间对应着1个容量值,这样每天的容量就作为1个容量样本.采集国内某机场半年的容量样本,采用k-means和SOM神经网络的混合聚类算法,确定机场典型容量样本,计算相应...
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| 关 键 词： | 空中交通管理 机场容量评估 流量管理 混合聚类算法 随机GHP模型 典型容量样本 |
Mixed clustering algorithm of airport capacity in stochastic GHP model |
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| WANG Fei,XU Xiao-hao.Mixed clustering algorithm of airport capacity in stochastic GHP model[J].Journal of Traffic and Transportation Engineering,2011(1):64-68. |
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| Authors: | WANG Fei XU Xiao-hao |
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| Institution: | WANG Fei,XU Xiao-hao(Air Traffic Management Research Base,Civil Aviation University of China,Tianjin 300300,China) |
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| Abstract: | In order to make full use of airport capacity resources and eliminate existing human prediction error in stochastic ground holding policy(GHP) model,a mixed clustering algorithm was researched.Daily capacity was divided into several intervals in accordance with 30 min,each interval corresponded to a certain capacity value,and the capacity of one day was a capacity scenario.The capacity scenarios of an airport in half a year were collected,typical capacity scenarios were produced by using self-organizing-map... |
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| Keywords: | air traffic management airport capacity evaluation flow management mixed clustering algorithm stochastic GHP model typical capacity scenario |
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