[1]郑长江,周思达,郑树康,等.基于SIR模型的城市路网拥堵传播分析[J].郑州大学学报(工学版),2025,46(01):51-58.[doi:10.13705/j.issn.1671-6833.2025.01.019]
　ZHENG Changjiang,ZHOU Sida,ZHENG Shukang,et al.Analysis of Congestion Propagation in Urban Road Networks Based on the SIR Model[J].Journal of Zhengzhou University (Engineering Science),2025,46(01):51-58.[doi:10.13705/j.issn.1671-6833.2025.01.019]
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基于SIR模型的城市路网拥堵传播分析()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
46
期数:
2025年01期
页码:
51-58
栏目:
出版日期:
2024-12-23

文章信息/Info

Title:
Analysis of Congestion Propagation in Urban Road Networks Based on the SIR Model
文章编号:
1671-6833(2025)01-0051-08
作者:
郑长江1;  周思达1;  郑树康2;  马庚华3;  张　博1;  戴津雯1
1.河海大学 土木与交通学院,江苏 南京 210098;2.河海大学 环境学院,江苏 南京 210098;3.河海大学 港口海岸与近海工程学院,江苏 南京 210098
Author(s):
ZHENG Changjiang1;  ZHOU Sida1;  ZHENG Shukang2;  MA Genghua3;  ZHANG Bo1;  DAI Jinwen1
1.College of Civil and Transportation Engineering, Hohai University, Nanjing 210098, China; 2.College of Environment, Hohai University, Nanjing 210098, China; 3.College of Harbour, Coastal and Offshore Engineering, Hohai University, Nanjing 210098, China
关键词:
SIR模型;  城市交通;  拥堵传播;  道路节点度;  道路饱和度
Keywords:
SIR model;  urban traffic;  congestion propagation;  road node degree;  road saturation
分类号:
U491TP301
DOI:
10.13705/j.issn.1671-6833.2025.01.019
文献标志码:
A
摘要:
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。
Abstract:
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 simulation 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 saturation was relatively large. As saturation increased, the propagation range could grow by up to 40%, and the recovery time could be affected by around 20%.

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更新日期/Last Update: 2024-12-30