Robustness of Interrelated Traffic Networks to Cascading Failures

Zhen Su, Lixiang Zhang, Haipeng Peng, Jurgen Kurths, Jinghua Xiao, Yixian Yang

Research output: Contribution to journalArticle

40 Citations (Scopus)

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 Baraba´si-Albert networks (BA) and Erdo˝s-Re´nyi 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 aS . a0.
Original languageEnglish
Article number05413
JournalScientific Reports
Volume4
DOIs
Publication statusPublished - 2014

Fingerprint

Subways
Phase transitions

Cite this

Su, Z., Zhang, L., Peng, H., Kurths, J., Xiao, J., & Yang, Y. (2014). Robustness of Interrelated Traffic Networks to Cascading Failures. Scientific Reports, 4, [05413]. https://doi.org/10.1038/srep05413

Robustness of Interrelated Traffic Networks to Cascading Failures. / Su, Zhen; Zhang, Lixiang; Peng, Haipeng; Kurths, Jurgen; Xiao, Jinghua; Yang, Yixian.

In: Scientific Reports, Vol. 4, 05413, 2014.

Research output: Contribution to journalArticle

Su, Z, Zhang, L, Peng, H, Kurths, J, Xiao, J & Yang, Y 2014, 'Robustness of Interrelated Traffic Networks to Cascading Failures', Scientific Reports, vol. 4, 05413. https://doi.org/10.1038/srep05413
Su, Zhen ; Zhang, Lixiang ; Peng, Haipeng ; Kurths, Jurgen ; Xiao, Jinghua ; Yang, Yixian. / Robustness of Interrelated Traffic Networks to Cascading Failures. In: Scientific Reports. 2014 ; Vol. 4.
@article{9119f3aaddfe4196b7919d17faa5208b,
title = "Robustness of Interrelated Traffic Networks to Cascading Failures",
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 Baraba´si-Albert networks (BA) and Erdo˝s-Re´nyi 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 therobustness 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 aS . a0.",
author = "Zhen Su and Lixiang Zhang and Haipeng Peng and Jurgen Kurths and Jinghua Xiao and Yixian Yang",
year = "2014",
doi = "10.1038/srep05413",
language = "English",
volume = "4",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",

}

TY - JOUR

T1 - Robustness of Interrelated Traffic Networks to Cascading Failures

AU - Su, Zhen

AU - Zhang, Lixiang

AU - Peng, Haipeng

AU - Kurths, Jurgen

AU - Xiao, Jinghua

AU - Yang, Yixian

PY - 2014

Y1 - 2014

N2 - 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 Baraba´si-Albert networks (BA) and Erdo˝s-Re´nyi 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 therobustness 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 aS . a0.

AB - 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 Baraba´si-Albert networks (BA) and Erdo˝s-Re´nyi 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 therobustness 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 aS . a0.

U2 - 10.1038/srep05413

DO - 10.1038/srep05413

M3 - Article

VL - 4

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

M1 - 05413

ER -