Model for traffic congestion state monitor in urban road network based on multi-dimension connection number

被引：0

作者：

Hu, Qi-Zhou ^{[1
]}

Sun, Xu ^{[2
]}

机构：

[1] School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China

[2] Institute of Transportation, Tsinghua University, Beijing 100084, China

来源：

Zhongguo Gonglu Xuebao/China Journal of Highway and Transport | 2013年 / 26卷 / 06期

关键词：

Decision theory - Monitoring - Motor transportation - Decision support systems - Artificial intelligence - Roads and streets;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

For timely finding and dynamic warning of traffic congestion state in urban road network, the dynamic tracking of traffic congestion in urban road network was analyzed. And the problem of traffic congestion in urban road network was studied with multi-dimension connection number. Based on the comprehensive analysis of relevant attributes, changing regulation, space distribution and discrimination method of traffic congestion, the authors analyzed formation mechanism of traffic congestion in urban road network. Based on the analysis of traffic congestion characteristics and influence factors, a monitoring index system of traffic congestion in urban road network was presented. Based on the determination of the assessment levels, the monitoring model of urban traffic congestion was designed with multi-dimension connection number. The validity of the model was checked at the end. The results have revealed the validity and maneuverability of the study, and thus a theory foundation for developing the decision support system for urban traffic congestion management is provided.

引用

页码：143 / 149

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