School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan, Liaoning, China.
School of Business Administration, University of Science and Technology Liaoning, Anshan, Liaoning, China.
PLoS One. 2024 Mar 22;19(3):e0300422. doi: 10.1371/journal.pone.0300422. eCollection 2024.
To study the propagation pattern of congestion risk in the traffic network and enhance risk control capabilities, a model has been developed. This model takes into account the probabilities of five threats (the risk occurrence probability; the risk of loss; the unpredictability of risk; the uncontrollability of risk; the transferability of risk) in the traffic network to define the risk entropy and determine the risk capacity, analyze the mechanism of congestion risk propagation, and explore the impact of risk resistance, the average degree of risk capacity at intersections, and the degree of correlation on congestion risk propagation. Further, a control method model for risk propagation is proposed. Numerical simulation results demonstrate that the risk resistance parameter θ can inhibit the propagation of congestion risk during traffic congestion. The highest efficiency in controlling risk propagation is achieved when θ reaches a threshold value θ*. Furthermore, the average degree of intersection risk capacity α shows a positive correlation with θ* and a negative correlation with control efficiency. However, the degree of association ω has a negative effect on risk propagation control, decreasing the degree of association between nodes aids in risk propagation control.
为了研究交通网络中拥堵风险的传播模式，提高风险控制能力，开发了一种模型。该模型考虑了交通网络中五种威胁（风险发生概率；风险损失；风险的不可预测性；风险的不可控性；风险的可转移性）的概率，定义了风险熵，并确定了风险容量，分析了拥堵风险传播的机制，探讨了风险抵抗力、交叉口平均风险容量度和相关性对拥堵风险传播的影响。进一步提出了风险传播的控制方法模型。数值模拟结果表明，风险抵抗力参数θ可以在交通拥堵期间抑制拥堵风险的传播。当θ达到阈值θ时，控制风险传播的效率最高。此外，交叉口风险容量度的平均值α与θ呈正相关，与控制效率呈负相关。然而，关联度ω对风险传播控制有负面影响，降低节点之间的关联度有助于风险传播控制。
