• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 54 Issue 2
Jun.  2019
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Article Contents
LI Chengbing, LI Fengxiao, WANG Luyao. Simulation of Passenger Traffic Network Reliability Restoration in Urban Agglomeration[J]. Journal of Southwest Jiaotong University, 2019, 54(2): 388-394, 401. doi: 10.3969/j.issn.0258-2724.20170813
Citation: LI Chengbing, LI Fengxiao, WANG Luyao. Simulation of Passenger Traffic Network Reliability Restoration in Urban Agglomeration[J]. Journal of Southwest Jiaotong University, 2019, 54(2): 388-394, 401. doi: 10.3969/j.issn.0258-2724.20170813

Simulation of Passenger Traffic Network Reliability Restoration in Urban Agglomeration

doi: 10.3969/j.issn.0258-2724.20170813
  • Received Date: 14 Nov 2017
  • Rev Recd Date: 02 Apr 2018
  • Available Online: 08 Jul 2018
  • Publish Date: 01 Apr 2019
  • 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.

     

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