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基于SIR模型的城市路网拥堵传播分析

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研究城市道路交通拥堵传播规律对缓解交通拥堵问题有着积极作用,为此建立了基于SIR的城市道路交通拥堵传播模型,用以分析城市道路交通拥堵传播过程。首先,基于城市实际路网构建路网对偶拓扑网络,并依据SIR建立交通拥堵传播模型。其次,结合道路网络的复杂网络特征和道路自身的相关属性,引入随机森林算法计算相关权重,确定拥堵模型中的传播速率等关键参数。最后,以南京市秦淮区某区域路网为例,构建有69个节点,163条连线的城市路网对偶拓扑网络进行仿真实验。结果表明:道路节点度和道路饱和度是影响道路拥堵传播的关键因素,道路节点度的影响相对较小,传播范围增长在5%以内,恢复时间影响在10%左右;道路饱和度的影响相对较大,随着道路饱和度的增长,传播范围增长最大可至40%,恢复时间影响在20%左右。
Analysis of Congestion Propagation in Urban Road Networks Based on the SIR Model
It is crucial to studying the propagation patterns of urban traffic congestion in alleviating traffic problems. A propagation model of urban traffic congestion based on the SIR to analyze the propagation process of urban traffic congestion was established. Firstly,the road dual topology network was constructed according to the actual urban road network. The traffic congestion propagation model was developed based on the SIR. Considering the complex network characteristics of road networks and the relevant attributes of roads themselves,the random forest algorithm was introduced to compute the corresponding weights,determining key parameters such as the propagation rate in the congestion model. Subsequently,using a specific area road network in Qinhuai District,Nanjing City as an example,a city road dual topology network with 69 nodes and 163 links was constructed for sim-ulation experiments. The results indicated that road node degree and road saturation were key factors influencing the spread of road congestion. The impact of road node degree was relatively small,with the propagation range increasing by within 5% and the recovery time being affected by around 10%. In contrast,the impact of road satu-ration was relatively large. As saturation increased,the propagation range could grow by up to 40%,and the recov-ery time could be affected by around 20%.

SIR modelurban trafficcongestion propagationroad node degreeroad saturation

郑长江、周思达、郑树康、马庚华、张博、戴津雯

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河海大学土木与交通学院,江苏南京 210098

河海大学环境学院,江苏南京 210098

河海大学港口海岸与近海工程学院,江苏南京 210098

SIR模型 城市交通 拥堵传播 道路节点度 道路饱和度

2025

郑州大学学报(工学版)
郑州大学

郑州大学学报(工学版)

北大核心
影响因子:0.442
ISSN:1671-6833
年,卷(期):2025.46(1)