多变量聚类分析的高速公路交通流状态实时评估

针对交通状态单变量判断传统方法的不足，本文建立了基于多变量聚类分析的高速公路交通流状态实时评估方法.结合实际交通流数据，利用模糊聚类、K均值聚类等算法对速度、流量等向量进行聚类分析，给出适合当前高速公路特点的交通状况划分方法和关键参数.本文方法能够实时、准确、全面地反映交通流的运行情况，为制定高效的交通管理控制方案及合理的出行方案提供数据基础.

A Method of Traffic State Estimation for Expressway Based on Multivariate Clustering Analysis

For the shortcomings of the traditional traffic state of single variable judgment method, a real-time evaluation method of highway traffic flow based on multivariate cluster analysis is established. We use fuzzy clustering and K-means clustering algorithm, combined with the actual traffic flow data, to cluster the speed, flow and other vectors. The traffic state classification method is established, which is suitable for the current highway. It can reflect the traffic flow state in real time, accurately and comprehensively. This paper provides data foundation for efficient traffic management and reasonable travel plan.