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考虑多种预警信息的双层网络拥堵传播模型

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为更好地揭示城市交通拥堵的传播机理,提出了多种预警信息子网与交通道路子网耦合的双层网络拥堵传播模型,并探讨多种预警信息下的城市道路拥堵风险传播机制.模型基于传播动力学建立了状态转移树,利用微观马尔科夫链(MMCA)分析传播阈值.最后,通过仿真实验分析多种预警信息对城市交通拥堵传播的影响.实验结果表明促进"速度快"预警信息传播和抑制"路程短"预警信息的扩散,对减缓交通拥堵压力能够起到积极作用.
A Twotier Network Traffic Congestion Propagation Model Considering Multiple Warning Messages
In order to better reveal the propagation mechanism of urban traffic congestion,this pa-per proposes a two-layer network congestion propagation model coupled with multiple warning information subnetworks and traffic road subnetworks,and explores the propagation mechanism of urban road congestion risk under multiple warning information.The model establishes a state transfer tree based on propagation dynamics and analyzes the propagation threshold using microscopic Markov chain(MMCA).Finally,the impact of multiple warning messages on the propagation of urban traffic congestion is analyzed through simulation experiments.The experimental results show that pro-moting the propagation of"fast"warning information and inhibiting the spread of"short"warning infor-mation can play a positive role in reducing traffic congestion pressure.

urban trafficdual informationcongestion propagation analysistwo-layered net-workmicro markov chain

杨雅儒、孙更新、宾晟

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青岛大学计算机科学技术学院,山东青岛 266071

城市交通 预警信息 拥堵传播分析 双层网络 微观马尔科夫链

山东省自然基金面上项目山东省社会科学规划项目

ZR2021MG00617CHLJ16

2024

复杂系统与复杂性科学
青岛大学

复杂系统与复杂性科学

CSTPCD北大核心
影响因子:0.798
ISSN:1672-3813
年,卷(期):2024.21(2)