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

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.