基于流量可调重分配的级联失效模型

doi:10.13229/j.cnki.jdxbgxb.20221397

Abstract

Abstract:

In order to improve the reliability of urban road network and reduce the damage caused by cascading failure to the network， the cascading failure of urban road network is studied. Firstly， the urban road network model with double layer network structure was built. Secondly， based on the capacity-flow model and the characteristics of urban road network， the cascading failure model of urban road network was established. Thirdly， the reliability of urban road network was evaluated by four indexes： network efficiency， congestion degree， network traffic quality and normal node ratio. The reliability of urban road network under different failure strategies and congestion failure thresholds was analyzed. Finally， the Shanghai regional road network was taken as an example to carry out a case study. The simulation results show that the reliability of the network is lower under selective attack. The smaller the failure threshold， the higher the reliability of the network， and the stronger the cascading failure resistance. The results of this paper have important practical significance to improve the reliability of urban road network and enhance the cascading failure resistance.

Key words: transportation planning and management, cascading failure, network congestion, reliability, complex network, simulation

CLC Number:

U491.1

Chang-jiang ZHENG,Tong-tong TAO,Zhi-chao CHEN. Cascading failure model based on adjustable redistribution of traffic flow[J].Journal of Jilin University(Engineering and Technology Edition), 2024, 54(9): 2441-2450.

Figures/Tables 13

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References 17

1	Motter A E, Lai Y C. Cascade-based attacks on complex networks[J]. Physical Review E, 2002, 66(6): 65102.
2	种鹏云,帅斌. 连环恐怖袭击下危险品运输网络级联失效建模[J]. 系统工程理论与实践, 2014, 34(4): 245-251.
	Chong Peng-yun Y, Bin Shuai. Model of cascading failure in hazardous materials transportation network under series of terrorist attacks[J]. Systems Engineering-Theory & Practice, 2014, 34(4): 245-251.
3	Zhang Y N, Lu Y R, Lu G Q, et al. Analysis of road traffic network cascade failures with coupled map lattice method[J]. Mathematical Problems in Engineering, 2015, 2015(4): 1-8.
4	刘朝阳,吕永波,刘步实,等. 城市轨道交通运输网络级联失效抗毁性研究[J]. 交通运输系统工程与信息, 2018, 18(5): 86-91.
	Liu Zhao-yang, Yong-bo Lyu, Liu Bu-shi, et al. Cascading failure resistance of urban rail transit network[J]. Journal of Transportation Systems Engineering and Information Technology, 2018, 18(5): 86-91.
5	李成兵,郝羽成,高巍,等. 城市群交通网络级联失效建模与可靠性仿真[J]. 公路交通科技, 2018, 35(5): 139-145.
	Li Cheng-bing, Hao Yu-cheng, Gao Wei, et al. Modelling of cascading failure and reliability simulation of urban agglomeration traffic network[J]. Highway Traffic Technology, 2018, 35(5): 139-145.
6	李锴,何永锋,吴纬,等. 面向级联失效的复杂层次网络可靠性[J]. 华中科技大学学报:自然科学版, 2018, 46(9): 50-56.
	Li Kai, He Yong-feng, Wu Wei, et al. Reliability of complex hierarchical network for cascading failure[J]. Journal of Huazhong University of Science and Technology (Natural Science Edition), 2018, 46(9): 50-56.
7	郝羽成,李成兵,魏磊. 考虑节点过载的复杂网络级联失效模型[J]. 系统工程与电子技术, 2018, 40(10): 131-136.
	Hao Yu-cheng, Li Cheng-bing, Wei Lei. Cascading failure model of complex networks considering overloaded nodes[J]. Systems Engineering and Electronics, 2018, 40(10): 131-136.
8	谢丰,程苏琦,陈冬青,等. 基于级联失效的复杂网络抗毁性[J]. 清华大学学报:自然科学版, 2011, 51(10): 24-29.
	Xie Feng, Cheng Su-qi, Chen Dong-qing, et al. Cascade-based attack vulnerability in complex networks[J]. Tsinghua University (Sci & Tech), 2011, 51(10): 24-29.
9	Qian Y S, Wang B B, Xue Y, et al. A simulation of the cascading failure of a complex network model by considering the characteristics of road traffic conditions[J]. Nonlinear Dynamics, 2015, 80(1): 413-420.
10	王正武,王杰,黄中祥. 考虑级联失效影响的城市道路网络容量研究[J]. 土木工程学报, 2015, 48(3): 129-135.
	Wang Zheng-wu, Wang Jie, Huang Zhong-xiang. Study on capacity of urban road network considering cascading failure[J]. China Civil Engineering Journal, 2015, 48(3): 129-135.
11	周振宇. 路网级联失效预防及修复策略研究[D]. 长沙: 长沙理工大学交通运输工程学院, 2015.
	Zhou Zhen-yu. Strategies to prevent and repair the road network cascade failure[D]. Changsha: School of Transportation Engineering, Changsha University of Science & Technology, 2015.
12	王正武,况爱武,王贺杰. 考虑级联失效的交通网络节点重要度测算[J]. 公路交通科技, 2012, 29(5): 100-105, 124.
	Wang Zheng-wu, Kuang Ai-wu, Wang He-jie. Calculation of traffic network node importance of cascading failure[J]. Highway Traffic Technology, 2012, 29(5): 100-105, 124.
13	王正武,王杰,黄中祥. 控制城市道路交通网络级联失效的关闭策略[J]. 系统工程, 2016, 34(2): 107-112.
	Wang Zheng-wu, Wang Jie, Huang Zhong-xiang. Closing strategies to control cascading failure in urban road traffic networks[J]. System Engineering, 2016, 34(2): 107-112.
14	段东立,武小悦. 基于可调负载重分配的无标度网络连锁效应分析[J]. 物理学报, 2014, 63(3): 47-57.
	Duan Dong-li, Wu Xiao-yue. Cascading failure of scale-free networks based on a tunable load redistribution model[J]. Acta Physica Sinica, 2014, 63(3): 47-57.
15	Li B L, Li F, Wang R Y. Modeling capacity of road network based on level of service of network[C]∥2008 International Conference on Intelligent Computation Technology and Automation, Changsha, China,2008: 626-630.
16	高明霞,贺国光. 考虑交叉口延误与通行能力的疏散路线与出发时间优化研究[J]. 武汉理工大学学报:交通科学与工程版, 2010, 34(5): 179-183.
	Gao Ming-xia, He Guo-guang. Optimizing evacuation routes and departure schedules in view of delay and capacity of intersections[J]. Journal of Wuhan University of Technology (Transportation Science & Engineering), 2010, 34(5): 179-183.
17	李彦瑾,罗霞,王莹. 考虑多节点拥堵的城市道路网级联失效仿真[J]. 工业工程, 2018, 21(4): 4-10.
	Li Yan-jin, Luo Xia, Wang Ying. A cascading failure simulation of urban road network considering multi-node congestion[J]. Industrial Engineering Journal, 2018,21(4): 4-10.

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路段规模等级	初始流量/ ［pcu·（h·km）^-1］	初始容量/ ［pcu·（h·km）^-1］	自由行驶速度/（km·h^-1）
Ⅰ	5 000	6 000	60
Ⅱ	3 333	4 000	60
Ⅲ	1 667	2 000	40
Ⅳ	833	1 000	30

路段	规模等级	距离长度 /km	初始流量 /（pcu·h^-1）	初始容量 /（pcu·h^-1）	初始阻抗/s
1-2	Ⅰ	0.19	950	1 140	11.4
1-13	Ⅱ	0.23	767	920	13.8
2-14	Ⅳ	0.22	183	220	26.4
6-10	Ⅲ	0.10	167	200	9.0
13-23	Ⅱ	0.27	900	1 080	16.2
14-23	Ⅲ	0.21	350	420	18.9
15-16	Ⅲ	0.22	367	440	19.8
16-17	Ⅳ	0.26	217	260	31.2
19-31	Ⅱ	0.56	1 867	2 240	33.6
22-33	Ⅰ	0.56	2 800	3 360	33.6
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节点排序	节点度		节点强度		介数中心性
节点排序	节点编号	数值	节点编号	数值	节点编号	数值
1	11	4	33	5 850	11	4 072
2	14	4	27	5 517	31	4 072
3	15	4	31	5 467	35	4 072
4	27	4	22	5 033	52	4 072
5	31	4	54	4 400	59	4 072
?	?	?	?	?	?	?

Cascading failure model based on adjustable redistribution of traffic flow

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