Invulnerability Analysis of Traffic Network in Tourist Attraction Under Unexpected Emergency Events Based on Cascading Failure

Li, Wanying; Han, Yan; Wang, Pengfei; Guan, Hongzhi

doi:10.1109/access.2019.2946737

Cited by 11 publications

(7 citation statements)

References 38 publications

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“…A highly contributing country with 64 publications is the United States (USA), followed by China with 34 publications, and Canada with 14 publications. The top three terms of the total link strength for universities are Purdue University with 28 publications, Penn State University with 16 publications, and Changan University with 14 publications [70][71][72][73][74][75][76][77][78][79][80][81]. Note: F= Frequency, U= University…”

Section: Top Contributionsmentioning

confidence: 99%

A review into studies related to the effect of the pavement surface condition on traffic safety: A scientometric analysis

Al-Zubaidi,

Zubaidi,

Al-Humeidawi

2023

QJES

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Traffic crashes are one of the main reasons for the death of many people and the loss of property Therefore, it is important to conduct research and studies to reduce the risk of accidents and identify the causes that lead to their occurrence. The condition of the pavement is one of the main factors that lead to accidents, as several studies have been presented that show the impact of pavement defects such as rutting, roughness, and skid resistance on traffic safety. This research was conducted to find out and compile the most important research papers using the web of science (WOS) and then analyzing the data using the VOSviewer program, and to know the most countries and journals published on the related pavement condition of road crashes, as well as to know the authors and their cooperation. In addition to knowing the keywords that help researchers research this topic. In order to benefit from these studies in knowing the causes of accidents, analyzing and treating them, and improving the performance of roads using modern analysis and maintenance methods that ensure traffic safety.

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Section: Top Contributionsmentioning

confidence: 99%

A review into studies related to the effect of the pavement surface condition on traffic safety: A scientometric analysis

Al-Zubaidi,

Zubaidi,

Al-Humeidawi

2023

QJES

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“…Network invulnerability was first proposed by Albert et al, [15] which is basically defined as the ability of a network to maintain its normal function after being attacked or encountering faults. After combined with cascading failure models, these methods are now widely used in transportation networks, [16][17][18][19] power grids, [20][21][22][23] and information communication networks. [24,25] However, there is a lack of relevant research in the chemical industry.…”

Section: Introductionmentioning

confidence: 99%

Cascading failure invulnerability analysis of chemical material network considering failure propagation capability

Li,

Wang,

Liu

et al. 2023

Can J Chem Eng

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The material network in the chemical process has the characteristics of a complex network. Once the fault occurs, it will spread and lead to cascading failures, causing the chemical production process to not proceed normally. Previous studies of cascading failures have been limited by the size and characteristics of the network, which prevented the definition of the fault propagation capacity of the edge based on the actual situation. Studies on the effects of network topology and certain risk factors on the amount of fault propagation still need to be completed. Because of the above shortcomings, this study constructs a chemical material network cascading failure invulnerability analysis model that considers the failure propagation ability. Through the study of the chemical material network topology structure and the analysis of various flammable and explosive chemicals, the paper defines the fault propagation coefficient, which affects the load propagation quantity on the connecting edge. Then, based on the load‐capacity nonlinear cascading failure model, the chemical material network's invulnerability was analyzed by adjusting the model parameters. The effectiveness of the model is verified through case analysis. Compared to the existing model, the model in this paper effectively improves the invulnerability of the material network and can reduce the phenomenon of large‐scale failure of the material network due to the failure propagation capability is not considered.

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“…The re-routing process for redistribution load may cause some other nodes to fail due to the excessive traffic. This process may continue in the network, and the failure cycle can be expanded throughout the network [12,13,14,15,16]. This failure is considered as one of the essential items affecting the robustness of IoT networks, which is called cascading failure [17,18,19].…”

Section: Introductionmentioning

confidence: 99%

REFIT: Robustness Enhancement Against Cascading Failure in IoT Networks

2021

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There has been tremendous growth in the Internet of Things (IoT) technologies, and many new applications have emerged. However, cascading failure as one of the major issues in such constrained networks have been neglected. In this paper, we apply an effective clustering approach dubbed as REFIT to enhance network topology robustness via nodes' residual energy. The REFIT protocol divides the network processes into two stages, (i) setup state and (ii) steady state. The Cluster Head (CH) selection method determines the supreme set of CHs that balances load distribution. The routing method is developed with the modified Particle Swarm Optimization (PSO) algorithm and the objective function to find the supreme set of Relay Nodes (RNs). These complete methods are combined into a setup state to construct an optimal routing tree that links these CHs to the sink via RNs. In steady state, we model the routing tree to Conditional Directed Acyclic Graph (C-DAG) infrastructure that leads to shortcut routes. Simulation results on MATLAB Simulink have demonstrated that compared with the state-of-the-art works, REFIT can significantly promote network robustness against cascading failure.

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Invulnerability Analysis of Traffic Network in Tourist Attraction Under Unexpected Emergency Events Based on Cascading Failure

Cited by 11 publications

References 38 publications

A review into studies related to the effect of the pavement surface condition on traffic safety: A scientometric analysis

A review into studies related to the effect of the pavement surface condition on traffic safety: A scientometric analysis

Cascading failure invulnerability analysis of chemical material network considering failure propagation capability

REFIT: Robustness Enhancement Against Cascading Failure in IoT Networks

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