基于改进模糊聚类算法的快速路交通状态分类评价

Evaluation of Traffic Status Classification for Urban Expressway based on Improved Fuzzy Clustering

基于城市快速路实时交通信息发布出发,对其交通状态进行了有效分类。研究首先在选取分类指标时,在传统分类指标流量、速度、占有率的基础上增加了新的分类指标——路网宽裕度。并运用模糊聚类的思想对交通状态进行聚类分析,对传统模糊聚类算法进行了适当改进,从而增加了方法的创新性。案例分析结果表明,研究所提的分类指标及改进算法是可行的,可对城市快速路的交通状态进行较为有效的分类。

Based on traffic information distribution of urban expressways, the traffic status is effectively classified. When selecting classification indicator, the road network ample degree is added in the study on the basis of traditional classification indicator such as traffic volume, speed and occupancy. The traffic status is analyzed by the idea of fuzzy clustering, and the traditional fuzzy clustering is improved which has made the method more innovative. Analysis results to cases show that the proposed classification indicator and the improved algorithm are feasible, which can make an effective classification of the traffic status of urban expressways.