Abstract: Traffic zone is an advantageous tool for analyzing complex transport network of urban.It has similar traffic characteristics and strong traffic relationship within one traffic zone.Thus，it can simplify the complexity of the network.But it still rests on application about this research around the world presently.Based on analyzing concept and properties of traffic zone，a method of spatial statistic analysis is proposed to research automated division of traffic zone.Model of spatial clustering analysis algorithm is offered，and parameters models are built，such as spatial relational matrix，traffic correlation.The flow and algorithm are designed for traffic zone division.Finally，combined with floating car data and actual transport network in Shanghai，the automated division of traffic zone is realized and it is concluded.

Key words: traffic zone, spatial relational matrix, spatial clustering analysis, automated division

摘要： 交通小区是解析整个城市复杂交通网络的一个有利工具，同一交通小区内部具有相似的交通特征和较强的交通关联，由此可以简化复杂网络，但目前国内外对此研究停留在应用层次。在解析交通小区概念及其特性的基础上，提出了采用空间统计分析的方法研究城市路网的交通小区自动划分。分析了空间聚类分析算法的模型，对空间关联矩阵、交通关联度等参数进行建模，设计了交通小区划分的流程与算法，最后结合上海市浮动车数据与实际交通网络，实现了路网交通小区的自动划分并得出了结论。

关键词: 交通小区, 空间关联矩阵, 空间聚类分析, 自动划分