吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (4): 1095-1101.doi: 10.13229/j.cnki.jdxbgxb201504011

• • 上一篇    下一篇

驾驶人分心时长对车道偏离影响的实车试验

马勇1, 石涌泉1, 付锐1, 2, 郭应时1   

  1. 1.长安大学 汽车学院,西安 710064;
    2.长安大学 汽车运输安全保障技术交通行业重点实验室,西安 710064
  • 收稿日期:2013-11-22 出版日期:2015-07-01 发布日期:2015-07-01
  • 作者简介:马勇(1980-),男,博士研究生.研究方向:驾驶人行为,交通安全技术.E-mail:mayong@chd.edu.cn
  • 基金资助:
    教育部创新团队发展计划项目(IRT1286); 国家自然科学基金项目(61374196,61473046); 中央高校基本科研业务费专项项目(310822153101)

Impact of driver's distracted driving time on vehicle lane departure

MA Yong1, SHI Yong-quan1, FU Rui1, 2, GUO Ying-shi1   

  1. 1.School of Automobile, Chang'an University, Xi'an 710064, China;
    2.Key Laboratory of Automotive Transportation Safety Technology, Ministry of Transport, Chang'an University, Xi'an 710064, China
  • Received:2013-11-22 Online:2015-07-01 Published:2015-07-01

RICH HTML

0   

PDF (PC)

229

摘要： 为了明确分心过程中的车道偏离规律,从而降低分心驾驶时因车道偏离引发的碰撞事故,在实际道路中进行行车试验,对参试的12名驾驶人共记录了398次分心过程的车辆运动状态数据。选取车道偏离的均值、方差和偏离幅度来表征车道偏离的程度,分别对该3项统计指标与分心时长进行相关性检验和拟合分析,并按时长分组对比分析分心驾驶与正常驾驶时的该3项指标,得到了车道偏离随驾驶分心时长的变化关系。结果表明:驾驶分心过程中的车道偏离高于正常驾驶;车道偏离随着驾驶分心时长的增加而增大,并且增大速度越来越快;当分心时长超过3.0 s时,车辆的车道偏离量在短时间内迅速增大。

关键词: 交通运输安全工程, 分心驾驶, 车道偏离, 驾驶人, 碰撞

Abstract: To figure out the law of vehicle lane departure during distracted driving and to reduce the collisions caused by lane departure, twelve drivers participated in road driving test; and the vehicle movement states of 398 distracted driving samples were collected. The means, the variances and amplitudes of the lane departure distances were selected as the indicators to characterize the level of lane departure. The correlation test and the fitting analysis between the distracted driving time and the three indicators were carried out. By analysis of the variation of the three indicators during common driving and distracted driving, the relationship between distracted driving time and lane departure was derived. The results indicate that the lane departure during driving with distraction is larger than that without distraction. The lane departure increases with the distracted driving time, and it increases more and more quickly. When the distraction time exceeds 3.0 s, the vehicle lane departure rises rapidly in a short time.

Key words: engineering of communication and transportation safety, distracted driving, lane departure, driver, collision

中图分类号: 

  • U491.254
[1] 马勇,付锐. 驾驶人视觉特性与行车安全研究进展[J].中国公路学报, 2015, 28(6):82-94. Ma Yong, Fu Rui. Research and development of drivers visual behavior and driving safety[J]. China Journal of Highway and Transport, 2015, 28(6):82-94.
[2] Deram P. Vehicle based detection of inattentive driving for integration in an adaptive lane departure warning system-distraction detection[D]. Stockholm: Royal Institute of Technology, KTH, 2004.
[3] 王武宏,孙逢春,曹琦,等. 道路交通系统中驾驶行为理论与方法[M]. 北京:科学出版社, 2001. [4] Metz B, Krueger H P. Measuring visual distraction in driving: The potential of head movement analysis[J]. Intelligent Transport Systems, 2010, 4(4): 289-297.
[5] Brumby D P, Salvucci D D, Howes A. Focus on driving: how cognitive constraints shape the adaptation of strategy when dialing while driving[C]∥Proceedings of the SIGCHI Conference on Human Factors in Computing Systems,ACM, 2009: 1629-1638.
[6] Rakauskas M E, Gugerty L J, Ward N J. Effects of naturalistic cell phone conversations on driving performance[J]. Journal of Safety Research, 2004, 35(4): 453-464.
[7] Törnros J E B, Bolling A K. Mobile phone use - effects of handheld and handsfree phones on driving performance[J]. Accident Analysis & Prevention, 2005, 37(5): 902-909.
[8] Rosenbloom T. Driving performance while using cell phones: an observational study[J]. Journal of Safety Research, 2006, 37(2): 207-212.
[9] 宋殿明. 视线离开前方视野过程中驾驶人行为研究[D]. 西安: 长安大学汽车学院, 2012. Song Dian-ming. Study on driver behavior during eyes off road[D]. Xi'an: School of Automobile,Chang'an University, 2012.
[10] 马勇,付锐,王畅,等. 视觉分心时驾驶人注视行为特性分析[J]. 中国安全科学学报,2013, 23(5):10-14. Ma Yong, Fu Rui, Wang Chang, et al. Analysis of drivers' gazing behavior during visual distraction[J]. China Safety Science Journal, 2013, 23(5): 10-14.
[11] Sodhi M, Reimer B. Glance analysis of driver eye movements to evaluate distraction[J]. Behavior Research Methods Instruments & Computers, 2002, 34 (4) : 529-538.
[12] Crundall D, Shenton C, Underwood G. Eye movements during intentional car following[J]. Perception, 2004, 33(8) : 975-986.
[13] 马勇,付锐,袁钰,等. 基于驾驶人分心影响程度的驾驶分心任务评级[J]. 交通信息与安全, 2014, 32(5): 47-51,57. Ma Yong, Fu Rui, Yuan Yu, et al. Rating driving distraction tasks baesd on distraction impact on drivers[J]. Journal of Transport Information and Safety, 2014, 32(5):47-51,57.
[1] 代存杰,李引珍,马昌喜,柴获,牟海波. 不确定条件下危险品配送路线多准则优化[J]. 吉林大学学报(工学版), 2018, 48(6): 1694-1702.
[2] 吉野辰萌, 樊璐璐, 闫磊, 徐涛, 林烨, 郭桂凯. 基于MBNWS算法的假人胸部结构多目标优化设计[J]. 吉林大学学报(工学版), 2018, 48(4): 1133-1139.
[3] 陈吉清, 杜天亚, 兰凤崇. 钝性碰撞中人体肝脏生物力学响应数值分析[J]. 吉林大学学报(工学版), 2018, 48(2): 398-406.
[4] 张君媛, 纪梦雪, 王楠, 叶威. 汽车正面25%重叠率碰撞车身前端结构设计[J]. 吉林大学学报(工学版), 2018, 48(1): 57-64.
[5] 王芳荣, 郭柏苍, 金立生, 高琳琳, 岳欣羽. 次任务驾驶安全评价指标筛选及其权值计算[J]. 吉林大学学报(工学版), 2017, 47(6): 1710-1715.
[6] 谭立东, 刘丹, 李文军. 基于蝇复眼的交通事故现场全景图像阵列仿生设计[J]. 吉林大学学报(工学版), 2017, 47(6): 1738-1744.
[7] 李显生, 孟凡淞, 郑雪莲, 任园园, 严佳晖. 基于应激响应的驾驶人视觉特性[J]. 吉林大学学报(工学版), 2017, 47(5): 1403-1410.
[8] 麻凯, 高继东, 闫磊, 徐涛. 基于碰撞胸压标定试验的仿真假人材料参数优选法[J]. 吉林大学学报(工学版), 2017, 47(5): 1498-1503.
[9] 曲慧雁, 赵伟, 秦爱红. 基于优化算子的快速碰撞检测算法[J]. 吉林大学学报(工学版), 2017, 47(5): 1598-1603.
[10] 高振海, LeDinhDat, 胡宏宇, 孙翊腾. 驾驶员无意识车道偏离识别方法[J]. 吉林大学学报(工学版), 2017, 47(3): 709-716.
[11] 李显生, 孟祥雨, 郑雪莲, 程竹青, 任圆圆. 非满载罐体内液体冲击动力学特性[J]. 吉林大学学报(工学版), 2017, 47(3): 737-743.
[12] 王占中, 赵利英, 曹宁博. 基于多层编码遗传算法的危险品运输调度模型[J]. 吉林大学学报(工学版), 2017, 47(3): 751-755.
[13] 李显生, 李明明, 郑雪莲, 任园园. 少量酒精作用下车辆制动性及驾驶人注视特性分析[J]. 吉林大学学报(工学版), 2017, 47(2): 408-413.
[14] 徐进, 陈薇, 周佳, 罗骁, 邵毅明. 汽车转向盘操作与驾驶负荷的相关性[J]. 吉林大学学报(工学版), 2017, 47(2): 438-445.
[15] 麻凯, 高继东, 徐涛. 基于简化碰撞仿真模型的概念汽车部件布局优化[J]. 吉林大学学报(工学版), 2017, 47(1): 58-63.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
版权所有 © 《吉林大学学报(工学版)》编辑部
地址：长春市人民大街5988号　电话：+86-431-85095297　传真：+86-431-85094074　E-mail: xbgxb@jlu.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发