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引用本文:卫振林,甘杨杰,赵鹏.???и???????????????????о?[J].交通运输系统工程与信息,2015,15(1):106-111.
作者姓名:卫振林  甘杨杰  赵鹏
作者单位:?????????????н???????????????????????????????????100044
基金项目:国家自然科学基金“重点”项目
摘    要:针对北京市三环内实际交通网络,分别构建城市道路交通网络和由城市轨道交通网络叠加形成的城市复合交通网络模型。基于复杂网络理论,采用Matlab计算节点度、聚类系数、平均路径长度、介数和节点紧密度等指标,分析了其分布规律,然后对这两个网络模型的统计特征值进行比较分析。结果表明,它们都具有一定的随机网络模型和无标度网络模型的小聚类系数特征,叠加后的城市交通网络直径和平均最短路径减小,平均度、聚类系数和节点紧密度都有不同程度增加,使整个路网的可达性得到了一定的提高,网络承载力变大。

关 键 词:???н??  ???и?????????  ????????  ???е?·???????  ?????  
收稿时间:2014-06-24

Characteristic Research of Urban Complex Traffic Network
WEI Zhen-lin,GAN Yang-jie,ZHAO Peng.Characteristic Research of Urban Complex Traffic Network[J].Transportation Systems Engineering and Information,2015,15(1):106-111.
Authors:WEI Zhen-lin  GAN Yang-jie  ZHAO Peng
Institution:MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China
Abstract:According to the actual traffic network in Third- Ring Road of Beijing, the complex network model of urban road traffic network is built, urban rail transit network and urban complex traffic network which is formed by the superposition of the former two. Based on the complex network theory, the value and distribution of the network’degree, clustering coefficient, average shortest way length, betweenness and node tightness are computed by Matlab and analyzed. Then, this paper compares the statistical characteristic values of the two network models. The results indicate that they both have the characteristic of low clustering coefficients of random network model and scale- free network model. After the addition of urban rail transit network, network diameter and average path length are reduced, and the average degree, node tightness and clustering coefficient are increased to different extent. The accessibility of the whole network is improved and the capacity of network becomes larger.
Keywords:urban traffic  urban complex traffic network  complex network  urban road traffic network  network accessibility
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