基于SOM-Kmeans算法的司机驾驶风格研究

Study on Driving Style of Drivers based on SOM-KmeansA lgorithm

本文以车辆历史运行物理参数为研究对象,使用SOM-Kmeans聚类模型识别出司机的驾驶风格,为发动机经济优化提供实际指导意义。首先基于K-means聚类优先识别出了九种行驶工况,从中选取加速行为对应的三类标签以驾驶循环为单位做特征统计;随后利用因子分析对数据降维,并通过SOM-Kmeans模型进行聚类,得到温和型、普通型和激进型三种类别的驾驶风格。

This paper takes the physical parameters of vehicle historical operation as the research object,and uses the SOM-Kmeans clustering model to identify the driving style of drivers,providing practical guidance for engine economic optimization.Firstly,nine driving cycles were identifi ed preferentially based on K-means clustering,and three types of tags corresponding to acceleration behaviors were selected to make feature statistics in driving cycles.Then factor analysis was used to reduce the dimension of the data,and the SOM-Kmeans model was used for clustering,and three types of driving styles,mild,ordinary and radical,were obtained.