摘要
在车辆行驶工况构建过程,提出了主成分分析与聚类分析的构建工况的方法,并利用该方法建立了昆明市道路代表性行驶工况。利用主成分分析对大量的运动学片段的特征参数进行压缩,选出能代表原始数据80%以上的3个主成分;其次用聚类分析提炼这些运动学片段;根据统计分析的概率随机并重组运动学片段,构建出能反映出昆明市典型公交车线路交通状况的工况。
As for the research of construction process of vehicle driving cycles , a method of principalcomponent analysis combined with cluster analysis was processed herein, a representative driving cycles wasdeveloped in Kunming city roads by this method. The method of principal component analysis was applied tocompress the characteristic parameters of lots kinematic sequences, Then got three principal componentswhich can reflect over 80% of the initial data. Secondly, clustering analysis were used to extract thesekinematic sequences. By randomly selecting and recombining these sequences according to statisticalprobability, the driving cycles can also reflect typical public routes in Kunming city
出处
《汽车实用技术》
2014年第5期5-9,共5页
Automobile Applied Technology
基金
西南林业大学科技创新基金(项目编号:1302)
关键词
行驶工况
运动学片段
主成分分析
聚类分析
Driving cycles
kinematic sequences
principal component analysis
clustering analysis
