将主成分分析法应用于车辆实际行驶工况开发中的交通特征分析环节的研究结果表明,利用主成分分析法,将反映道路交通特征的短行程特征值压缩成代表原始数据80%以上信息的3个或4个主成分的方法是可行的。构建一系列的候选工况,以主成分参数为准则,从大量实际行驶速度中提炼出一段速度变化曲线作为代表性行驶工况,并以合肥市典型道路为研究对象进行分析,得出了一个基于实际汽车速度的行驶工况。建议合肥地区车辆排放检测法规中采用该行驶工况。
The result of research with principal component analysis method applied to traffic characteristic analysis developed for vehicle real driving cycle indicates that it is feasible to use the principal component analysis method to compress the short-travel characteristic value which reflects road traffic features to three or four principal components which represent over 80% information of the original data.A series of candidate driving cycles are established,and a section of vehicle speed variation curve is drawn from a large amount of real driving speeds as representative driving cycle,and a driving cycle based on real vehicle speed is obtained based on the analysis of the typical road in Hefei City as research object.This driving cycle is recommended in the vehicle emission test rules in Hefei City.