Cascading Failure Model Establishment and Empirical Analysis of Multimodal Transport Network

2020 ◽  
Author(s):  
Guo Jingni ◽  
Xu Junxiang ◽  
He Zhenggang ◽  
Liao Wei
Keyword(s):  
Empirical Analysis ◽  
Transport Network ◽  
Cascading Failure ◽  
Failure Model ◽  
Multimodal Transport

Risk control of the cascading failure of multimodal transport network considering uncertain disturbance factors1

2020 ◽  
Vol 39 (5) ◽  
pp. 7693-7704
Author(s):  
Jingni Guo ◽  
Junxiang Xu ◽  
Wei Liao
Keyword(s):  
Empirical Analysis ◽  
Value At Risk ◽  
Ant Colony Algorithm ◽  
Programming Model ◽  
Risk Control ◽  
Transport Network ◽  
Conditional Value At Risk ◽  
Cascading Failure ◽  
Load Redistribution ◽  
Multimodal Transport

The multimodal transport network in the region with complex environment and being easily affected by disturbance factors is used as the research object in our work. The characteristics of the cascading failure of such multimodal transport network were analyzed. From the perspective of network load redistribution, the risk control methods for the cascading failure of the multimodal transport network were investigated. This research aims to solve the problem that traditional load redistribution methods usually ignore the original-destination (OD) constraint and uncertain risks. The conditional value-at-risk (CVaR) was improved based on the Bureau of Public Roads (BPR) road impedance function to quantify the uncertainty of the disturbance factors. A nonlinear programming model was established with the generalized travel time as the objective function. A parallelly-running cellular ant colony algorithm was designed to solve the model. Empirical analysis was conducted on the multimodal transport network in Sichuan-Tibet region of China. The results of the empirical analysis verified the applicability of the proposed load redistribution method to such kind of regions and the effectiveness of the algorithm. This research provides theoretical basis and practical reference for the risk control of the cascading failure of multimodal transport networks in some regions.

scholarly journals Simulation Study on Cascading Failure of Multimodal Transport Network

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Jingni Guo ◽  
Junxiang Xu ◽  
Zhenggang He ◽  
Wei Liao
Keyword(s):  
Social Impact ◽  
Failure Process ◽  
Network Capacity ◽  
Transport Network ◽  
Cascading Failure ◽  
Public Attention ◽  
Load Redistribution ◽  
Correlation Degree ◽  
Multimodal Transport ◽  
The Impact

Cascading failure in multimodal transport network may cause huge economic loss and social impact, which has gradually attracted public attention. In view of the coupling effect of nodes in multimodal transport network and the higher complexity of cascading failure process, the concepts of node correlation degree and node cooperation degree are proposed to characterize the characteristics of the network, and a logit model is introduced to calculate the initial load of nodes. In the case of ignoring network interruption, we propose two load redistribution methods: local allocation and global-local allocation. Taking the multimodal transport network in Sichuan–Tibet region of China as an example, the cascading failure effect of multimodal transport network in Sichuan–Tibet region is quantified by sensitivity analysis. The results show that when the load of the multimodal transport network in Sichuan–Tibet region exceeds the maximum capacity but does not exceed 150%∼170% of the network capacity, the network can still operate normally. In addition, the nodes in the multimodal transport network should have 0.3∼0.5 scalable space. In the cascading failure control method, load redistribution based on global-local allocation can minimize the impact of node overload.

scholarly journals A Cascading Failure Model Considering Operation Characteristics of the Communication Layer

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 9493-9504
Author(s):  
Geng Zhang ◽  
Jiawen Shi ◽  
Shiyan Huang ◽  
Jiye Wang ◽  
Hao Jiang
Keyword(s):  
Cascading Failure ◽  
Failure Model ◽  
Communication Layer ◽  
Operation Characteristics

Cascading failure model of AC-DC system and blackout mechanism analysis

2014 ◽  
Author(s):  
Yuxin Zhong ◽  
Xuemin Zhang ◽  
Shaowei Huang ◽  
Shengwei Mei ◽  
Xiaopeng Yu ◽  
...  
Keyword(s):  
Cascading Failure ◽  
Mechanism Analysis ◽  
Failure Model ◽  
Dc System

Cascading failure model for improving the robustness of scale-free networks

2018 ◽  
Vol 29 (06) ◽  
pp. 1850044 ◽  
Author(s):  
Zhichao Ju ◽  
Jinlong Ma ◽  
Jianjun Xie ◽  
Zhaohui Qi
Keyword(s):  
Real Life ◽  
Cascading Failure ◽  
Edge Weight ◽  
Failure Model ◽  
Threshold Parameter ◽  
Connected Component ◽  
New Model ◽  
Scale Free ◽  
Small Load ◽  
Scale Free Networks

To control the spread of cascading failure on scale-free networks, we propose a new model with the betweenness centrality and the degrees of the nodes which are combined. The effects of the parameters of the edge weight on cascading dynamics are investigated. Five metrics to evaluate the robustness of the network are given: the threshold parameter ([Formula: see text]), the proportion of collapsed edges ([Formula: see text]), the proportion of collapsed nodes ([Formula: see text]), the number of nodes in the largest connected component ([Formula: see text]) and the number of the connected component ([Formula: see text]). Compared with the degrees of nodes’ model and the betweenness of the nodes’ model, the new model could control the spread of cascading failure more significantly. This work might be helpful for preventing and mitigating cascading failure in real life, especially for small load networks.

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