首页 | 本学科首页   官方微博 | 高级检索  
     检索      

驾驶风格对驾驶行为的影响
引用本文:侯海晶,金立生,关志伟,杜海兴,李敬君.驾驶风格对驾驶行为的影响[J].中国公路学报,2018,31(4):18-27.
作者姓名:侯海晶  金立生  关志伟  杜海兴  李敬君
作者单位:1. 天津职业技术师范大学 汽车与交通学院, 天津 300222;2. 吉林大学 交通学院, 吉林 长春 130022;3. 都柏林大学 工程与建筑学院, 都柏林 4
基金项目:国家自然科学基金项目(51408417,51575229);天津市科技创新平台计划项目(16PTGCCX00150);天津职业技术师范大学科研启动项目(KYQD14001)
摘    要:为了揭示驾驶风格对驾驶行为的影响规律,进而提取表征驾驶风格的特征参数,对不同风格驾驶人在感知层和操作层的驾驶行为数据进行了量化分析。首先,基于驾驶行为问卷对18名中国非职业驾驶人进行了驾驶风格问卷调查,并采用主成分分析、K-均值聚类等方法将被试驾驶人分为谨慎型、正常型和激进型3种类型。接着,被试驾驶人在搭载了SmartEye眼动仪的驾驶模拟器上开展了高速公路行车环境下的驾驶试验,同步采集了感知层的视觉特性参数和操作层的驾驶绩效参数,并采用判断抽样的方式将驾驶样本按照驾驶风格和驾驶模式(换道意图和车道保持)进行了划分,共选取了810组有效样本。最后,采用方差分析法分析了不同风格驾驶人在不同驾驶模式下的注视行为、扫视行为、横向控制特性、纵向控制特性方面相关参数的差异显著性,并提取了不同风格间存在显著差异的参数作为表征驾驶风格的特征参数。研究结果表明:驾驶风格越激进,驾驶人对周围环境关注越少,对车辆的横向控制稳定性越差,急加速和急减速行为发生的频次越高;不同风格驾驶人在意图时窗内对后视镜的注视次数(p=0.002)、方向盘转角熵值(p=0.04)、加速踏板开度(p=0.01)、制动踏板开度(p=0.02)这4个参数的差异均较为显著,因此可作为表征驾驶风格的特征参数。

关 键 词:交通工程  驾驶行为  方差分析  驾驶风格  视觉特性  驾驶绩效  
收稿时间:2017-09-08

Effects of Driving Style on Driver Behavior
HOU Hai-jing,JIN Li-sheng,GUAN Zhi-wei,DU Hai-xing,LI Jing-jun.Effects of Driving Style on Driver Behavior[J].China Journal of Highway and Transport,2018,31(4):18-27.
Authors:HOU Hai-jing  JIN Li-sheng  GUAN Zhi-wei  DU Hai-xing  LI Jing-jun
Institution:1. School of Automotion and Transportation, Tianjin University of Technology and Education, Tianjin 300222, China;2. School of Transportation, Jilin University, Changchun 130022, Jilin, China;3. College of Engineering and Architecture, University College Dublin, Dublin 4, Ireland
Abstract:To reveal the influence laws of driving style on driver behavior and to select the driving style characteristic parameters, the quantitative analysis of the driver behavior data of different style drivers was performed, which included the data in situation awareness and operational layers during driving. First, a questionnaire survey of driving style was conducted on 18 non-professional Chinese drivers based on the driver behavior questionnaire; additionally, principal components analysis and K-means clustering were used to quantify the driving style and classify the 18 participants into three groups:cautious, normal, and aggressive drivers. Subsequently, the 18 drivers drove in the highway traffic environment on a driving simulator equipped with a SmartEye system; meanwhile, the visual characteristic parameters and driving performance parameters were acquired synchronously, and a judgment sampling method was used to select the samples according to the driving styles and driving maneuvers (which included lane changing intention and lane keeping). Subsequently, 810 effective samples were obtained. Finally, the analysis of variance method was used to analyze the significant difference between the different driving styles in gaze behavior, saccade behavior, as well as lateral and longitudinal control characteristics during different maneuvers, followed by the extraction of parameters that have significant differences between different styles as the driving style characteristic parameters. The results show that the aggressive drivers exhibit less attention to the surrounding environment, worse stability in lateral control, and more frequent emergency accelerating and braking. Additionally, the differences between different driving styles are significant in those parameters:gaze times to the rearview mirror during the intention time window(p=0.002), steering entropy(p=0.04), accelerator pedal position(p=0.01), and brake pedal position(p=0.02). Accordingly, these four parameters are selected as the characteristic parameters of the driving styles.
Keywords:traffic engineering  driver behavior  ANOVA  driving style  visual characteristic  driving performance  
本文献已被 CNKI 等数据库收录!
点击此处可从《中国公路学报》浏览原始摘要信息
点击此处可从《中国公路学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号