Resilience Assessment on Urban Road Network by Dynamic Shunt Cell Transmission Model

被引：0
|
作者：
Lv B. [1 ]
Xie Z.-Y. [1 ]
Kang Y.-X. [1 ]
Zhao Y.-M. [1 ]
机构：
[1] School of Information Science and Technology, Southwest Jiaotong University, Chengdu
来源：
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | 2022年 / 22卷 / 06期
关键词：
dynamic shunt cell transmission model; network efficiency; resilience; road transportation system; traffic engineering;
D O I：
10.16097/j.cnki.1009-6744.2022.06.014
中图分类号：
学科分类号：
摘要：
To comprehensively evaluate the ability of urban road networks to resist and recover quickly from major disturbances, a road network performance evaluation model based on an improved cell transmission model is proposed to simulate the flow distribution of the road network and to compute the network resilience as an index. To address the weakness of the constant shunting ratio at intersections in the traditional cell transmission models, the path flow fluctuation caused by travelers' path adjustment during the disturbance events is clearly considered, and the strong coupling mechanism between travel decision behavior and cell traffic transmission is constructed, and a novel dynamic shunting cellular transmission model is proposed. Based on the network performance parameters obtained by the dynamic shunt cell transmission model, the road network efficiency is taken as the basic performance index, and a resilience index reflecting the cumulative dynamic changes of the road network efficiency during the disturbance event was constructed. Finally, a case study is carried out based on the Sioux Falls network. The results show that, compared with the traditional cell transmission model, the proposed dynamic shunt cell transmission model can accurately describe the actual traffic distribution state of the road network by the dynamic coupling relationship between travel decision-making behavior and cellular traffic transmission and the self-consistent mechanism between path flow variation and the proportion of cellular traffic at intersections. The resilience index based on the network efficiency can comprehensively reflect the dynamic cumulative performance during the whole process from the network performance degradation to recovery after the disturbance events, which intuitively shows the ability of the road network to resist and recover from the disturbances. If the potential impact of travel decision-making behavior is ignored, the resilience assessment will be not accurate. © 2022 Science Press. All rights reserved.
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页码：134 / 143and211
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