中国安全科学学报 ›› 2019, Vol. 29 ›› Issue (12): 40-45.doi: 10.16265/j.cnki.issn1003-3033.2019.12.007
刘通1, 付锐1,2 教授, 张名芳3, 田顺1
收稿日期:
2019-09-20
修回日期:
2019-11-11
出版日期:
2019-12-28
发布日期:
2020-11-24
作者简介:
刘 通 (1989—),男,山西怀仁人,博士研究生,研究方向为人-车-路系统安全、驾驶行为分析、驾驶员类型划分。E-mail: liutong@chd.edu.cn。
基金资助:
LIU Tong1, FU Rui1,2, ZHANG Mingfang3, TIAN Shun1
Received:
2019-09-20
Revised:
2019-11-11
Online:
2019-12-28
Published:
2020-11-24
摘要: 为研究驾驶员的跟车特性,探究驾驶员风格划分方法,采集50名驾驶员的实车试验数据,选取平均跟车时距和平均制动时距为二维向量,建立基于K-means聚类结果的高斯混合模型(GMM)并分析不同风格驾驶员的聚类结果。研究表明:样本数据聚为3类时的平均轮廓系数为0.45,将驾驶员划分为冒进型、平稳型、保守型3类时聚类效果较好;冒进型驾驶员倾向于选择较小的跟车时距和制动时距,保守型驾驶员的跟车及制动时距则普遍较大,模型聚类结果更加柔性,样本区分度更高。
中图分类号:
刘通, 付锐, 张名芳, 田顺. 融合K-means与高斯混合模型的驾驶风格聚类研究[J]. 中国安全科学学报, 2019, 29(12): 40-45.
LIU Tong, FU Rui, ZHANG Mingfang, TIAN Shun. Study on driving style clustering based on K-means and Gaussian mixture model[J]. China Safety Science Journal, 2019, 29(12): 40-45.
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