Robustness of interrelated traffic networks to cascading failures
The vulnerability to real-life networks against small initial attacks has been one of outstanding challenges in the study of interrelated networks. We study cascading failures in two interrelated networks S and B composed from dependency chains and connectivity links respectively. This work proposes...
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Published in | Scientific reports Vol. 4; no. 1; p. 5413 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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24.06.2014
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Abstract | The vulnerability to real-life networks against small initial attacks has been one of outstanding challenges in the study of interrelated networks. We study cascading failures in two interrelated networks S and B composed from dependency chains and connectivity links respectively. This work proposes a realistic model for cascading failures based on the redistribution of traffic flow. We study the Barabási-Albert networks (BA) and Erdős-Rényi graphs (ER) with such structure, and found that the efficiency sharply decreases with increasing percentages of the dependency nodes for removing a node randomly. Furthermore, we study the robustness of interrelated traffic networks, especially the subway and bus network in Beijing. By analyzing different attacking strategies, we uncover that the efficiency of the city traffic system has a non-equilibrium phase transition at low capacity of the networks. This explains why the pressure of the traffic overload is relaxed by singly increasing the number of small buses during rush hours. We also found that the increment of some buses may release traffic jam caused by removing a node of the bus network randomly if the damage is limited. However, the efficiencies to transfer people flow will sharper increase when the capacity of the subway network α(S) > α0. |
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AbstractList | The vulnerability to real-life networks against small initial attacks has been one of outstanding challenges in the study of interrelated networks. We study cascading failures in two interrelated networks S and B composed from dependency chains and connectivity links respectively. This work proposes a realistic model for cascading failures based on the redistribution of traffic flow. We study the Barabási-Albert networks (BA) and Erdős-Rényi graphs (ER) with such structure, and found that the efficiency sharply decreases with increasing percentages of the dependency nodes for removing a node randomly. Furthermore, we study the robustness of interrelated traffic networks, especially the subway and bus network in Beijing. By analyzing different attacking strategies, we uncover that the efficiency of the city traffic system has a non-equilibrium phase transition at low capacity of the networks. This explains why the pressure of the traffic overload is relaxed by singly increasing the number of small buses during rush hours. We also found that the increment of some buses may release traffic jam caused by removing a node of the bus network randomly if the damage is limited. However, the efficiencies to transfer people flow will sharper increase when the capacity of the subway network α(S) > α0. The vulnerability to real-life networks against small initial attacks has been one of outstanding challenges in the study of interrelated networks. We study cascading failures in two interrelated networks S and B composed from dependency chains and connectivity links respectively. This work proposes a realistic model for cascading failures based on the redistribution of traffic flow. We study the Barabási-Albert networks ( BA ) and Erdős-Rényi graphs ( ER ) with such structure, and found that the efficiency sharply decreases with increasing percentages of the dependency nodes for removing a node randomly. Furthermore, we study the robustness of interrelated traffic networks, especially the subway and bus network in Beijing. By analyzing different attacking strategies, we uncover that the efficiency of the city traffic system has a non-equilibrium phase transition at low capacity of the networks. This explains why the pressure of the traffic overload is relaxed by singly increasing the number of small buses during rush hours. We also found that the increment of some buses may release traffic jam caused by removing a node of the bus network randomly if the damage is limited. However, the efficiencies to transfer people flow will sharper increase when the capacity of the subway network α S > α 0 . The vulnerability to real-life networks against small initial attacks has been one of outstanding challenges in the study of interrelated networks. We study cascading failures in two interrelated networks S and B composed from dependency chains and connectivity links respectively. This work proposes a realistic model for cascading failures based on the redistribution of traffic flow. We study the Barabási-Albert networks (BA) and Erdos-Rényi graphs (ER) with such structure, and found that the efficiency sharply decreases with increasing percentages of the dependency nodes for removing a node randomly. Furthermore, we study the robustness of interrelated traffic networks, especially the subway and bus network in Beijing. By analyzing different attacking strategies, we uncover that the efficiency of the city traffic system has a non-equilibrium phase transition at low capacity of the networks. This explains why the pressure of the traffic overload is relaxed by singly increasing the number of small buses during rush hours. We also found that the increment of some buses may release traffic jam caused by removing a node of the bus network randomly if the damage is limited. However, the efficiencies to transfer people flow will sharper increase when the capacity of the subway network αS > α0 . |
ArticleNumber | 5413 |
Author | Su, Zhen Yang, Yixian Xiao, Jinghua Peng, Haipeng Kurths, Jürgen Li, Lixiang |
Author_xml | – sequence: 1 givenname: Zhen surname: Su fullname: Su, Zhen organization: School of Science, Beijing University of Posts and Telecommunications, Beijing 100876, China – sequence: 2 givenname: Lixiang surname: Li fullname: Li, Lixiang organization: Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications – sequence: 3 givenname: Haipeng surname: Peng fullname: Peng, Haipeng organization: Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications – sequence: 4 givenname: Jürgen surname: Kurths fullname: Kurths, Jürgen organization: Potsdam Institute for Climate Impact Research, Potsdam D-14473, Germany – sequence: 5 givenname: Jinghua surname: Xiao fullname: Xiao, Jinghua organization: School of Science, Beijing University of Posts and Telecommunications, Beijing 100876, China – sequence: 6 givenname: Yixian surname: Yang fullname: Yang, Yixian organization: 1] Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications National Engineering Laboratory for Disaster Backup and Recovery, Beijing University of Posts and Telecommunications, Beijing 100876, China |
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Snippet | The vulnerability to real-life networks against small initial attacks has been one of outstanding challenges in the study of interrelated networks. We study... |
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Title | Robustness of interrelated traffic networks to cascading failures |
URI | https://www.ncbi.nlm.nih.gov/pubmed/24957005 https://www.proquest.com/docview/1898010048/abstract/ https://search.proquest.com/docview/1540113238 https://pubmed.ncbi.nlm.nih.gov/PMC4067616 |
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