摘要
运用遗传算法确定最佳道路交通状态划分类型数,在此基础上引入模糊C均值聚类方法对道路交通状态进行了评价研究,分析得出了不同交通状态下的阈值。应用结果表明,该方法可实现对道路交通状态的评价,并能反映道路交通状态的变化。
Genetic algorithm was used to determine the best classification number for traffic status analysis,then fuzzy C-means clustering method was applied to evaluate the road traffic status,and threshold values of different traffic statuses were calculated.The implementation results showed that the proposed method was capable of evaluating road traffic status,and reflecting the related quantitative fluctuations.
出处
《道路交通与安全》
2010年第5期34-37,41,共5页
Road Traffic & Safety
关键词
交通状态评价
遗传算法
模糊C均值聚类
交通拥挤
road traffic status evaluation
genetic algorithm
fuzzy C-means clustering
traffic congestion
