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基于改进GN算法的路网脆弱性诊断模型
引用本文:吴俊荻,朱顺应,王红,刘兵,丁乃侃. 基于改进GN算法的路网脆弱性诊断模型[J]. 武汉水运工程学院学报, 2012, 0(4): 740-743,747
作者姓名:吴俊荻  朱顺应  王红  刘兵  丁乃侃
作者单位:武汉理工大学交通学院,武汉430063
基金项目:国家自然科学基金项目资助(批准号:51078299)
摘    要:分析了路网脆弱性的含义.根据道路网络的特点,改进了复杂网络理论中的社团划分算法———GN算法,提出了基于GN算法的路网脆弱性诊断模型.以路段介数值作为评判路段重要性的依据,在已知路网基本结构条件和交通需求分布的条件下,对路网中脆弱路段的空间分布和脆弱路段的失效顺序进行了识别.实例分析了基于GN算法识别路网脆弱性的诊断效果和模型的实用性.

关 键 词:道路网络  复杂网络  GN算法  路网脆弱性

Model for Identifying Vulnerability of Road Networks Based on Improved GN Algorithm
WU Jundi,ZHU Shunyin,WANG Hong,LIU Bing,DING Naikan. Model for Identifying Vulnerability of Road Networks Based on Improved GN Algorithm[J]. , 2012, 0(4): 740-743,747
Authors:WU Jundi  ZHU Shunyin  WANG Hong  LIU Bing  DING Naikan
Affiliation:(School of Transportation, Wuhan University of Technology, Wuhan , 430063,China)
Abstract:The meaning of network vulnerability was clearly defined. Considering the characteristics of road networks, a complex network method was improved. A composite model was provided for identi- fying the vulnerability of road network based on a community partition algorithm named GN algo- rithm. The importance of links was judged by their betweenness. In the basic of road network struc- ture and traffic demand distribution, the space distribution of vulnerable links and the failure orders of them were identified. At last, a real road network was set as an example to analysis the result and practical utility of this model. This provided decision support for traffic planning and management.
Keywords:road network complex network GN algorithm vulnerability of road network
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