Model of node traffic recovery behavior and cascading congestion analysis in networks

Shen, Yi; Song, Guohao; Xu, Huangliang; Xie, Yuancheng

doi:10.1016/j.physa.2019.123422

Cited by 16 publications

(6 citation statements)

References 42 publications

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“…The failed edge e (45, 46) in MC2 and e (46, 60) in MC4 are connected to form inter-area congestion. 3), e (3,20), and e (19,20) are level 3. e (1,23), e (1, 2), e (2,21), and e (20,21) are level 1. Compared with the latter, the former requires more skills to clear congestion than the latter.…”

Section: 2cascading Failures Analysismentioning

confidence: 98%

See 1 more Smart Citation

Cascading failures and maintenance optimization of urban transportation networks

Dui¹,

Zhang²,

Chen³

et al. 2023

Eksploatacja i Niezawodność – Maintenance and Reliability

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A convenient urban transportation network facilitates a high-quality life and a high-growth economy. Due to cascading failures being a ticklish question triggering continuous road congestion, the maintenance plan is momentous to restore the urban transportation network. Considering fault edges are removed and cars slowly drive out of these edges to ease traffic congestion, a traffic distribution model is proposed to analyze the cascading failures process. To resume the transportation network, this paper proposes a maintenance optimization with minimizing maintenance time. It recovers the cascading failures from two perspectives: the intra-area maintenance model and the inter-area maintenance model. At last, a transportation network of a city in China is regarded as a case study to illuminate the feasibility of the proposed models. The results show that on the premise of dividing traffic areas, it is reasonable to adopt the intra-area maintenance plan for cascading failures. Compared with the intra-area maintenance plan, the inter-area maintenance plan saves more time.

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Section: 2cascading Failures Analysismentioning

confidence: 98%

“…Shi et al [20] developed joint optimization maintenance planning of multi-facility transportation infrastructure systems. Shen et al [21] analyzed the cascading congestion in traffic networks. Barahimi et al [3] analyzed multi-modal urban transit network maintenance considering reliability.…”

Section: Eksploatacja I Niezawodnosc -Maintenance and Reliabilitymentioning

confidence: 99%

Cascading failures and maintenance optimization of urban transportation networks

Dui¹,

Zhang²,

Chen³

et al. 2023

Eksploatacja i Niezawodność – Maintenance and Reliability

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show abstract

“…Much research work has been conducted on different aspects to avoid road congestion, such as traffic flow propagation [3][4][5], traffic congestion prediction [6][7][8][9], and the correlation of traffic congestion [10,11]. But it is inevitable that road congestion can propagate to adjacent nodes in an urban road network [12].…”

Section: Introduction 1backgroundmentioning

confidence: 99%

Recovery Model and Maintenance Optimization for Urban Road Networks with Congestion

Dui

Zhang

et al. 2023

Mathematics

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Urban road networks have promoted high-quality travel for residents by increasing connectivity and intelligence. But road congestion has not been effectively alleviated, causing a loss of time and energy. At present, the recovery of urban road networks mainly considers removing the failed edges. Considering the recovery cost and time, it is important to take active maintenance behavior to restore these networks. One of the key problems is dispatching traffic workers reasonably to achieve timely maintenance. In this paper, a flow-distribution-based process and execution (FD-PE) model is established for solving congestion. The maintenance centers (MC) study the reasons for and spread of congestion by edge flow. Based on the genetic algorithm (GA), two models of maintenance for urban road networks are developed, which include a single MC-centered dispatching plan and the co-scheduling of MCs. Both models aim at minimizing recovery time and allocating maintenance resources. The road network in Zhengzhou is borrowed as a case to explain the feasibility of the proposed models. The results show that on the premise of dividing network regions, it is reasonable to take a single MC to recover congestion. Compared with a single MC, the co-scheduling of MCs may save more time.

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“…Peng et al [12] proposed a model of double-layer network structure with simplicial complexes and discussed the higher-order interactions between the networks. To mitigate cascading failures, Smolyak et al [13] proposed an intuitive and simple method of protecting the critical nodes, and similar approaches were proposed by Wang et al [14] and Shen et al [15]. These robustness and cascading failure studies of multilayer networks take little account of the functional heterogeneity of the nodes.…”

Section: Introductionmentioning

confidence: 99%

Robustness of Double-Layer Group-Dependent Combat Network with Cascading Failure

Yu¹,

Xiao²,

Cui

2023

Electronics

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The networked combat system-of-system (CSOS) is the trend of combat development with the innovation of technology. To achieve the combat effectiveness, studying the ability of CSOS to cope with external interference is of great importance. Here we report a modeling method of CSOS from the perspective of complex networks and explore the robustness of the combat network based on this. Firstly, a more realistic double-layer heterogeneous dependent combat network model is established. Then, the conditional group dependency situation is considered to design failure rules for dependent failure, and the coupling relation between the double-layer subnets is analyzed for overload failure. Based on this, the initial load and capacity of the node are defined, respectively, as well as the load redistribution strategy and the status judgment rules for the cascading failure model. Simulation experiments are carried out by changing the attack modes and different parameters, and the results show that the robustness of the combat network can be effectively improved by improving the tolerance limit of one-way dependency of the functional net, the node capacity of the functional subnet, and the tolerance of the overload state. The conclusions of this paper can provide a useful reference for network structure optimization and network security protection in the military field.

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Model of node traffic recovery behavior and cascading congestion analysis in networks

Cited by 16 publications

References 42 publications

Cascading failures and maintenance optimization of urban transportation networks

Cascading failures and maintenance optimization of urban transportation networks

Recovery Model and Maintenance Optimization for Urban Road Networks with Congestion

Robustness of Double-Layer Group-Dependent Combat Network with Cascading Failure

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