A Cascade Failure Model with Topology Variation

Hao Fan; Ning Huang; Guoyi Wen

doi:10.23919/ChiCC.2018.8483799

A Cascade Failure Model with Topology Variation

Hao Fan
, Ning Huang
, Guoyi Wen

School of Reliability and Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The exsiting cascade failure models mostly focus on the network paralysis caused by the removal of the nodes or edges. However, in a transportation network, traffic accidents happened on edges create new nodes. In this paper, a model with topology variation is established by adopting the method of topology variation in biomolecular network. To establish the cascade failure model with network topology variation, we introduced a congestion coefficient into the user equilibrium distribution model. The proposed cascade failure model can be used to evaluate and quantify cascade failures caused by traffic accidents in a transportation network.

Original language	English
Title of host publication	Proceedings of the 37th Chinese Control Conference, CCC 2018
Editors	Xin Chen, Qianchuan Zhao
Publisher	IEEE Computer Society
Pages	6087-6092
Number of pages	6
ISBN (Electronic)	9789881563941
DOIs	https://doi.org/10.23919/ChiCC.2018.8483799
State	Published - 5 Oct 2018
Event	37th Chinese Control Conference, CCC 2018 - Wuhan, China Duration: 25 Jul 2018 → 27 Jul 2018

Publication series

Name	Chinese Control Conference, CCC
Volume	2018-July
ISSN (Print)	1934-1768
ISSN (Electronic)	2161-2927

Conference

Conference	37th Chinese Control Conference, CCC 2018
Country/Territory	China
City	Wuhan
Period	25/07/18 → 27/07/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Cascade failure
Coupling
Flow distribution
Topology variation

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10.23919/ChiCC.2018.8483799

Cite this

@inproceedings{ab15d6c81a5442d1aae3112e83764f1a,

title = "A Cascade Failure Model with Topology Variation",

abstract = "The exsiting cascade failure models mostly focus on the network paralysis caused by the removal of the nodes or edges. However, in a transportation network, traffic accidents happened on edges create new nodes. In this paper, a model with topology variation is established by adopting the method of topology variation in biomolecular network. To establish the cascade failure model with network topology variation, we introduced a congestion coefficient into the user equilibrium distribution model. The proposed cascade failure model can be used to evaluate and quantify cascade failures caused by traffic accidents in a transportation network.",

keywords = "Cascade failure, Coupling, Flow distribution, Topology variation",

author = "Hao Fan and Ning Huang and Guoyi Wen",

note = "Publisher Copyright: {\textcopyright} 2018 Technical Committee on Control Theory, Chinese Association of Automation.; 37th Chinese Control Conference, CCC 2018 ; Conference date: 25-07-2018 Through 27-07-2018",

year = "2018",

month = oct,

day = "5",

doi = "10.23919/ChiCC.2018.8483799",

language = "英语",

series = "Chinese Control Conference, CCC",

publisher = "IEEE Computer Society",

pages = "6087--6092",

editor = "Xin Chen and Qianchuan Zhao",

booktitle = "Proceedings of the 37th Chinese Control Conference, CCC 2018",

address = "美国",

}

Fan, H, Huang, N & Wen, G 2018, A Cascade Failure Model with Topology Variation. in X Chen & Q Zhao (eds), Proceedings of the 37th Chinese Control Conference, CCC 2018., 8483799, Chinese Control Conference, CCC, vol. 2018-July, IEEE Computer Society, pp. 6087-6092, 37th Chinese Control Conference, CCC 2018, Wuhan, China, 25/07/18. https://doi.org/10.23919/ChiCC.2018.8483799

A Cascade Failure Model with Topology Variation. / Fan, Hao; Huang, Ning; Wen, Guoyi.
Proceedings of the 37th Chinese Control Conference, CCC 2018. ed. / Xin Chen; Qianchuan Zhao. IEEE Computer Society, 2018. p. 6087-6092 8483799 (Chinese Control Conference, CCC; Vol. 2018-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Cascade Failure Model with Topology Variation

AU - Fan, Hao

AU - Huang, Ning

AU - Wen, Guoyi

PY - 2018/10/5

Y1 - 2018/10/5

N2 - The exsiting cascade failure models mostly focus on the network paralysis caused by the removal of the nodes or edges. However, in a transportation network, traffic accidents happened on edges create new nodes. In this paper, a model with topology variation is established by adopting the method of topology variation in biomolecular network. To establish the cascade failure model with network topology variation, we introduced a congestion coefficient into the user equilibrium distribution model. The proposed cascade failure model can be used to evaluate and quantify cascade failures caused by traffic accidents in a transportation network.

AB - The exsiting cascade failure models mostly focus on the network paralysis caused by the removal of the nodes or edges. However, in a transportation network, traffic accidents happened on edges create new nodes. In this paper, a model with topology variation is established by adopting the method of topology variation in biomolecular network. To establish the cascade failure model with network topology variation, we introduced a congestion coefficient into the user equilibrium distribution model. The proposed cascade failure model can be used to evaluate and quantify cascade failures caused by traffic accidents in a transportation network.

KW - Cascade failure

KW - Coupling

KW - Flow distribution

KW - Topology variation

UR - https://www.scopus.com/pages/publications/85056083631

U2 - 10.23919/ChiCC.2018.8483799

DO - 10.23919/ChiCC.2018.8483799

M3 - 会议稿件

AN - SCOPUS:85056083631

T3 - Chinese Control Conference, CCC

SP - 6087

EP - 6092

BT - Proceedings of the 37th Chinese Control Conference, CCC 2018

A2 - Chen, Xin

A2 - Zhao, Qianchuan

PB - IEEE Computer Society

T2 - 37th Chinese Control Conference, CCC 2018

Y2 - 25 July 2018 through 27 July 2018

ER -

A Cascade Failure Model with Topology Variation

Abstract

Publication series

Conference

UN SDGs

Keywords

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