基于多子网复合复杂网络模型的城市公共交通网络鲁棒性分析。

IF 2.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Entropy Pub Date : 2023-09-25 DOI:10.3390/e25101377
Gengxin Sun
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引用次数: 1

摘要

城市公共交通网络是一个典型的高阶复杂网络。城市公共交通网络中有多种交通方式,每种交通方式对城市交通的影响不同。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和运行。本文在多子网复合复杂网络模型的基础上,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量,在模型中提出了交通函数的概念。考虑到复合网络中各种关系对节点的不同影响,改进了传统的级联故障模型,采用蓄意攻击策略和随机攻击策略来研究复合网络的鲁棒性。实验以青岛市城市公交-地铁复合网络为例进行了仿真。实验结果表明,在两种攻击策略下,网络鲁棒性并没有随着容量的增加而增加,多个关系的比例对网络鲁棒性有显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Robustness Analysis of an Urban Public Traffic Network Based on a Multi-Subnet Composite Complex Network Model.

Robustness Analysis of an Urban Public Traffic Network Based on a Multi-Subnet Composite Complex Network Model.

Robustness Analysis of an Urban Public Traffic Network Based on a Multi-Subnet Composite Complex Network Model.

Robustness Analysis of an Urban Public Traffic Network Based on a Multi-Subnet Composite Complex Network Model.

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.

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来源期刊
Entropy
Entropy PHYSICS, MULTIDISCIPLINARY-
CiteScore
4.90
自引率
11.10%
发文量
1580
审稿时长
21.05 days
期刊介绍: Entropy (ISSN 1099-4300), an international and interdisciplinary journal of entropy and information studies, publishes reviews, regular research papers and short notes. Our aim is to encourage scientists to publish as much as possible their theoretical and experimental details. There is no restriction on the length of the papers. If there are computation and the experiment, the details must be provided so that the results can be reproduced.
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