摘要
提出了基于DBSCAN算法的机场体系划分方法;阐述并分析了相关机场体系研究现状及DBSCAN聚类算法应用优势,根据机场群以空间分布为主导的集聚模式,以机场地理位置为关键要素,对以密度相连的机场样本点同簇进行划分,并以机场经纬度数据为模拟数据集进行聚类分析,验证DBSCAN算法的有效性和可行性;理论分析和实践表明:DBSCAN聚类算法可更好满足我国机场划分的功能需求,优化和完善我国机场体s系布局,为区域机场体系规划决策提供一定的理论依据。
This paper proposes an airport system partition method based on DBSCAN algorithm.This paper expounds and analyzes the current research situation of airport system and the advantages of DBSCAN clustering algorithm.According to the spatial distribution-oriented clustering model of airport clusters,and taking the airport geographical location as the key element,the densely connected airport sample points are divided into clusters,and the airport longitude and latitude data are used as the simulation data sets for clustering.Analysis to verify the effectiveness and feasibility of the DBSCAN algorithm.Theoretical analysis and practice show that DBSCAN clustering algorithm can better meet the functional requirements of airport division,optimize and improve the layout of airport system in China,and provide a theoretical basis for Regional Airport System Planning and decision-making.
作者
李赞
王朝霞
隋昊
LI Zan;WANG Zhaoxia;SUI Hao(Department of Military Logistics,Army Logistics University of PLA,Chongqing 401331,China)
出处
《兵器装备工程学报》
CAS
北大核心
2018年第10期173-177,共5页
Journal of Ordnance Equipment Engineering
基金
中国博士后科学基金面上项目(2014M562589)
军队重大项目子项:军队基建营房综合管理系统研究-军队资产可视与分析决策分系统(AS214R002-2)
