Sun Gengxin
College of Computer Science & Technology, Qingdao University, Qingdao 266071, China.
Entropy (Basel). 2023 Sep 25;25(10):1377. doi: 10.3390/e25101377.
An urban public traffic network is a typical high-order complex network. There are multiple types of transportation in an urban public traffic network, and each type has different impacts on urban transportation. Robustness analyses of urban public traffic networks contribute to the safe maintenance and operation of urban traffic systems. In this paper, a new cascading failure model for urban public traffic networks is constructed based on a multi-subnet composite complex network model. In order to better simulate the actual traffic flow in the composite network, the concept of traffic function is proposed in the model. Considering the different effects of various relationships on nodes in the composite network, the traditional cascading failure model has been improved and a deliberate attack strategy and a random attack strategy have been adopted to study the robustness of the composite network. In the experiment, the urban bus-subway composite network in Qingdao, China, was used as an example for simulation. The experimental results showed that under two attack strategies, the network robustness did not increase with the increase in capacity, and the proportion of multiple relationships had a significant impact on the network robustness.
城市公共交通网络是典型的高阶复杂网络。城市公共交通网络中存在多种交通方式，每种交通方式对城市交通都有不同影响。城市公共交通网络的鲁棒性分析有助于城市交通系统的安全维护与运行。本文基于多子网复合复杂网络模型构建了一种新的城市公共交通网络级联故障模型。为了更好地模拟复合网络中的实际交通流，模型中提出了交通功能的概念。考虑到复合网络中各种关系对节点的不同影响，对传统级联故障模型进行了改进，并采用蓄意攻击策略和随机攻击策略研究复合网络的鲁棒性。实验中，以中国青岛的城市公交 - 地铁复合网络为例进行仿真。实验结果表明，在两种攻击策略下，网络鲁棒性并未随容量增加而提高，多重关系比例对网络鲁棒性有显著影响。
