摘要
为划分公路网等级,引入复杂网络理论,采用对偶拓扑方法,将公路路线按照路名抽象为节点,考虑路段流量和贯穿度计算节点权重,并基于重力模型得到加权邻接矩阵,通过Matlab编程计算节点重要度指标、紧密度指标、介数指标,采用变异系数法计算节点综合指标权重,以规划年路网总里程为控制量筛选得到满足里程要求的节点;最后对所筛选出的节点采取模糊聚类,进行公路网等级划分.研究结果表明:应用复杂网络理论进行公路网等级划分,不仅能够得出各等级公路里程,并且能够得出各等级公路的空间分布情况,为未来公路网等级的提升提供参考.
In order to divide the highway network hierarchy reasonably, first, both the complex network theory and the dual topology method are adopted to abstract highway sections into different nodes. Then, the weights of the nodes are calculated by considering the traffic volume and the coherence degree , and a weighted adjacency matrix based on the gravity model is obtained. Moreover, the importance degree, closeness and betweenness of the nodes are calculated with the help of Matlab, the comprehensive weight of the nodes is obtained by means of the variation coefficient method, and the nodes satisfying the mileage requirement are filtrated by setting the planed annual mile- age as the control variable. Finally, a classification of highway network hierarchy is performed based on the fuzzy clustering of the filtrated nodes. The results show that the application of complex network theory to the classification of highway network hierarchy helps to obtain the mileage and space distribution of each highway grade, which bene-fits the level improvement of road networks.
出处
《华南理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2015年第4期33-40,共8页
Journal of South China University of Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(51208054)
长安大学中央高校基本科研业务费专项资金资助项目(2013G1211002
2013G2212024)
陕西省交通运输厅科技项目(13-36R)~~
关键词
交通工程
路网等级
复杂网络理论
加权邻接矩阵
模糊聚类
traffic engineering
highway network hierarchy
complex network theory
weighted adjacency matrix
fuzzy clustering
