城市群客运交通网络可靠性修复仿真

为对遭受攻击的城市群客运交通网络进行有效的修复，及时恢复网络功能，研究了不同攻击策略下城市群客运交通网络可靠性修复最优化方法. 首先，探究城市群客运交通网络特点，采用了站点映射法构建城市群客运交通网络模型. 其次，在对随即攻击、蓄意攻击和不完全信息攻击3种攻击策略进行深入分析基础上，探究城市群客运交通网络级联修复现象机理，构建城市群客运交通网络可靠性修复机制模型，并提出了衡量城市群客运交通网络可靠性测度指标. 最后，以呼包鄂城市群为研究对象，取信息模糊度分别为1.0、0.8、0.2、0情况下进行仿真分析，通过指标变化对比得到各种攻击策略下最优化修复方法. 结果表明:随机攻击策略下采用偏好修复能保持网络较高的最大连通子图相对规模，修复节点与修复连边策略分别可将修复程度维持在0.87、0.65左右；在蓄意攻击策略下重点修复效果显著，修复程度可最终维持在0.70左右；不完全信息攻击策略下城市群客运交通网络可靠性修复最优化策略依据信息模糊度的大小而定，并存在阀值. 与此发现，发现节点攻击危害性远超于连边攻击，有关部门应更加重视城市群客运交通网络站点的建设与定期维护. 

Simulation of Passenger Traffic Network Reliability Restoration in Urban Agglomeration

To effectively repair an urban agglomeration passenger traffic network under attack and restore network function in time, an optimization method of network reliability restoration was studied. Firstly, the characteristics of an urban agglomeration passenger traffic network were explored, and the site mapping method was adopted to construct a network model thereof. Secondly, three attack strategies of random attack, deliberate attack, and the incomplete attack were analized. A cascade repair mechanism of an urban agglomeration passenger traffic network was explored, and a reliability repair mechanism model of this network was constructed. Then, a reliability measurement index was put forward. Finally, considering Hu-Bao-E urban agglomeration as the research object, a simulation analysis was carried out under the condition of information fuzziness of 1.0, 0.8, 0.2, and 0, respectively. The optimal repair methods under various attack strategies were obtained through a comparison of index changes. According to the results, under a random attack strategy, preference repair is the optimized strategy; nodes repair and edge repair can be maintained at 0.65 and 0.87, respectively. Under the deliberate attack strategy, the key repair effect is remarkable, and the repair degree can be maintained at about 0.70. Under the incomplete information attack strategy, the optimization strategy of reliability restoration of urban agglomeration passenger traffic network depends on the size of information fuzziness. Moreover, the harm of the node attack is greater than that of the edge attack. Hence, relevant departments should pay more attention to the construction and regular maintenance of urban agglomeration passenger traffic network sites.