A Model of the Dynamic Traffic Zoning Based on Fuzzy Clustering Analysis

被引：0
|
作者：
Yin Hong-ying [1 ]
Xu Li-qun [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Antai Coll Econ & Management, Shanghai 200052, Peoples R China
来源：
ADVANCES IN MANAGEMENT OF TECHNOLOGY, PT 2 | 2008年
关键词：
Dynamic traffic zones; Fuzzy clustering analysis; Traffic control; Zoning;
D O I：
暂无
中图分类号：
K9 [地理];
学科分类号：
0705 ;
摘要：
Dynamic traffic zoning is the basic model for making traffic control plans and very important in urban traffic control system because of the complex and huge road network. Aiming at solving the problem of dynamic traffic zoning for urban traffic control system, this paper designs model of dynamic traffic zoning which considers real-time traffic flow data and the topology structure characteristics of arcs and nodes in road network, an algorithm based on fuzzy clustering analysis is proposed. The actual traffic volume and the topological structure attributes of the intersection are selected as the dominant factors of dynamic traffic zoning. Analysis of an example is given to prove the effectiveness and practicality of this model and it shows that fuzzy clustering analysis is a useful quantitative tool for dynamic traffic zoning.
引用
收藏
页码：470 / 476
页数：7
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