中国机械工程2024，Vol.35Issue(9)：1534-1541,8.DOI:10.3969/j.issn.1004-132X.2024.09.002
基于驾驶事件的驾驶风格分类与识别方法研究
Research on Driving Style Classification and Recognition Methods Based on Driving Events
摘要
Abstract
Aiming at the problems that,based on data statistical characteristics,the classification and recognition method of driving style was easy to ignore the diversity of driving style during driv-ing,a classification and recognition method of driving style was proposed based on driving events,spectral clustering and random forest.Experiments were designed to collect driving data,and the data were preprocessed to extract turning events and braking events.After standardization and dimension-ality reduction,the spectral clustering algorithm was used to cluster the driving style of turning events and braking events respectively.The entropy weight method was used to obtain the driving style weights of each driver,and the accuracy of five machine learning algorithms was compared for driving style recognition.Results show that the accuracy of driving style recognition is as 92.73％based on random forest,which significantly improves the accuracy of driving style recognition.关键词
驾驶风格/驾驶事件/谱聚类/随机森林Key words
driving style/driving event/spectral clustering/random forest分类
交通工程引用本文复制引用
秦大同,陈沫机,曹宇航,高迪..基于驾驶事件的驾驶风格分类与识别方法研究[J].中国机械工程,2024,35(9):1534-1541,8.基金项目
国家自然科学基金重点项目(U1764259) （U1764259）
