Reliability Evaluation of Urban Road Traffic Networks Under Cascading Failure

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Reliability Evaluation of Urban Road Traffic Networks Under Cascading Failure

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[1]WU Zhilong,ZHENG Changjiang,ZHENG Shukang,et al.Reliability Evaluation of Urban Road Traffic Networks Under Cascading Failure[J].Journal of Zhengzhou University (Engineering Science),2025,46(02):82-89.[doi:10.13705/j.issn.1671-6833.2025.02.003]

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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 46 Number of periods: 2025 02 Page number: 82-89 Column: Public date: 2025-03-10

Title:: Reliability Evaluation of Urban Road Traffic Networks Under Cascading Failure

Author(s):: WU Zhilong¹; ZHENG Changjiang¹; ZHENG Shukang²; MA Genghua³; CHEN Zhichao¹; WU Fei⁴; DAI Jinwen¹; 1. College of Civil and Transportation Engineering, Hohai University, Nanjing 210024, China; 2. College of Environment, Hohai University, Nanjing 210024, China; 3. College of Harbour, Coastal and Offshore Engineering, Hohai University, Nanjing 210024, China; 4. College of Artificial Intelligence and Automation, Hohai University, Nanjing 211100, China

Keywords:: complex networks; urban road traffic networks; cascading failure; reliability; network congestion

CLC:: U491.1 O157.5

DOI:: 10.13705/j.issn.1671-6833.2025.02.003

Abstract:: To alleviate the congestion problem and improve the reliability of the urban road traffic networks, the cascading failures based on complex network theory were studied in this study. Firstly, a double-layer weighted urbon road traflic networks network model was constructed. Secondly, a failure threshold was integrated into the nonlinear load-capacity model to quantify the probability of failure. Thus, the nodes were also classified into three states: normal, failure and congestion. Additionally, a hybrid load redistribution strategy was proposed to distribute the failure load to the neighboring and sub-neighboring nodes of the failure node considering the spatio-temporal correlation. Finally, the proposed model was simulated by a case study of Nanjing to analyze the impact of different attack strategies and failure thresholds on the reliability of the urbon road traflic networks. The results showed that the urbon road traflic networks had the ability to resist small-scale node and link failures. Attacking high-importance nodes could accelerate congestion diffusion, leading to a decrease in network reliability. During the early stages of congestion propagation (t=40 to 65), increasing the failure threshold δ was able to delay the spread of cascading failure to some extent. However, after congestion reached the critical time, a higher failure threshold (δ= 1.6 compared to δ=1.8) triggered more severe cascading failure.

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Last Update: 2025-03-13