|本期目录/Table of Contents|

[1]赵俊玮,华珺,刘永涛,等.不同警告方式下驾驶人应激反应能力模拟试验研究[J].中国安全生产科学技术,2019,15(6):162-167.[doi:10.11731/j.issn.1673-193x.2019.06.026]
 ZHAO Junwei,HUA Jun,LIU Yongtao,et al.Simulation test study on stress response ability of drivers under different warning modes[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2019,15(6):162-167.[doi:10.11731/j.issn.1673-193x.2019.06.026]
点击复制

不同警告方式下驾驶人应激反应能力模拟试验研究
分享到:

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
15
期数:
2019年6期
页码:
162-167
栏目:
职业安全卫生管理与技术
出版日期:
2019-06-30

文章信息/Info

Title:
Simulation test study on stress response ability of drivers under different warning modes
文章编号:
1673-193X(2019)-06-0162-06
作者:
赵俊玮华珺 刘永涛魏朗
(长安大学 汽车学院,陕西 西安 710064)
Author(s):
ZHAO Junwei HUA Jun LIU Yongtao WEI Lang
(School of Automobile, Chang’an University, Xi’an Shaanxi 710064, China)
关键词:
交通安全驾驶辅助系统警告方式应激反应能力模拟试验
Keywords:
traffic safety driver assistance system warning mode stress response ability simulation test
分类号:
X912.9
DOI:
10.11731/j.issn.1673-193x.2019.06.026
文献标志码:
A
摘要:
为研究在道路突发危险场景下先进驾驶辅助系统的不同警告方式对驾驶人应激反应能力的影响,利用自主开发的驾驶人应激反应能力测试软件,以计算机模拟与驾驶模拟器为试验平台,以实际驾驶视频为试验场景,选取操作准确率和反应时间为测试指标,分析不同警告方式下驾驶人的应激反应能力。研究结果表明:视觉警告可有效缩短应激反应时间;视听觉组合警告中,视觉警告占主导作用,听觉警告起辅助作用;在真实场景视频试验环境下,驾驶模拟器模拟试验的操作效果优于计算机模拟试验。
Abstract:
In order to study the influence of different warning modes by the advanced driver assistance system on the stress response ability of drivers under the road emergency scenes, by using the selfdeveloped test software for the stress response ability of drivers, taking the computer simulation and driving simulator as the test platforms and the actual driving videos as the test scenes, the stress response ability of drivers under different warning modes were analyzed by selecting the operation accuracy and reaction time as the test indexes. The results showed that the visual warning could effectively shorten the stress response time. The visual warning played a dominant role in the visualauditory combination warning, and the auditory warning played an auxiliary role. In the real video test environment, the operation effect of driving simulator test was better than that of computer simulation test.

参考文献/References:

[1]李克强,戴一凡,李升波,等. 智能网联汽车(ICV)技术的发展现状及趋势[J]. 汽车安全与节能学报, 2017, 8(1): 1-14. LI Keqiang, DAI Yifan, LI Shengbo, et al.State-of-the-art and technical trends of intelligent and connected vehicles[J]. Journal Automotive Safety and Energy, 2017, 8(1): 1-14.
[2]刘浩学. 道路交通安全工程[M]. 北京: 人民通出版社, 2013: 64-67.
[3]ZHANG Y, WU C, QIAO C, et al. The effects of warning characteristics on driver behavior in connected vehicles systems with missed warnings[J]. Accident Analysis & Prevention, 2019(124): 138-145.
[4]WINKELER S, KAZAZI J, VOLLRATH M. How to warn drivers in various safety-critical situations-Different strategies, different reactions[J].Accident Analysis & Prevention, 2018(117): 410-426.
[5]WINKELER S, KAZAZI J, VOLLRATH M. Practice makes better-Learning effects of driving with a multi-stage collision warning[J].Accident Analysis & Prevention, 2018(117): 398-409.
[6]REMO M A, JANSSEN C P, DONKER S F, et al. Visual in-car warnings: How fast do drivers respond[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2018: 1-12.
[7]FORSTER Y, NAUJOKS F, NEUKUM A, et al. Driver compliance to take-over requests with different auditory outputs in conditional automation[J]. Accident Analysis & Prevention, 2017(109): 18-28.
[8]吕爱红,张雅丽,吴付威,等.驾驶人应激反应能力评估方法[J].交通信息与安全,2018,36(4):15-21. LYU Aihong, ZHANG Yali, WU Fuwei, et al. An evaluation model for stress response of drivers[J]. Journal of Transport Information and Safety, 2018, 36(4): 15-21.
[9]黎景壮.驾驶人在不同预警方式下的应激反应研究[D].广州:华南理工大学, 2018.
[10]VINGILIS E, YILDIRIM Z, VINGILIS L, et al. Young male drivers’ perceptions of and experiences with YouTube videos of risky driving behaviours[J]. Accident Analysis & Prevention, 2018(120): 46-54.
[11]KOVACSOVA N, CABRALL C D D, ANTONISSE S J, et al. Cyclists’ eye movements and crossing judgments at uncontrolled intersections: An eye-tracking study using animated video clips[J]. Accident Analysis & Prevention, 2018(120): 270-280.
[12]华珺,赵俊玮,刘浩学,等.不同训练维度下新手驾驶人潜在危险认知能力研究[J].中国安全科学学报,2018,28(6):61-66. HUA Jun, ZHAO Junwei, LIU Haoxue, et al. Research on novice drivers’ ability in potential hazard cognition as a function of training dimension[J]. China Safety Science Journal, 2018, 28(6) : 61-66.
[13]YUAN Q,LI Y, LIAO Y, et al. Study of correlation between driver emergency measures and pedestrian injury based on combined driving simulator and computer simulation[J]. Advances in Mechanical Engineering, 2013, 171479.
[14]LENARD, JAMES, ALEXANDRO B R, et al. Typical pedestrian accident scenarios for the development of autonomous emergency braking test protocols[J]. Accident Analysis & Prevention, 2014(73): 73-80.
[15]SAE.J3016: Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles[S].SAE,2018.

相似文献/References:

[1]陈 春.道路交通事故的影响因素研究——基于结构方程模型的实证研究[J].中国安全生产科学技术,2014,10(5):103.[doi:10.11731/j.issn.1673-193x.2014.05.018]
 CHEN Chun.Research on influencing factors of road traffic accidents——empirical study based on structural equation model[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2014,10(6):103.[doi:10.11731/j.issn.1673-193x.2014.05.018]
[2]张芳燕,牛玺荣.2000~2013年我国公路交通安全研究进展及其分析[J].中国安全生产科学技术,2015,11(4):173.[doi:10.11731/j.issn.1673-193X.2015.04.028]
 ZHANG Fang-yan,NIU Xi-rong.Research progress and analysis on highway traffic Safety in China during 2000 to 2013[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2015,11(6):173.[doi:10.11731/j.issn.1673-193X.2015.04.028]
[3]高岩,董宪元,田飞.高速公路交通安全现状分析及管理对策[J].中国安全生产科学技术,2015,11(10):110.[doi:10.11731/j.issn.1673-193x.2015.10.019]
 GAO Yan,DONG Xian-yuan,TIAN Fei.Present situation analysis on highway traffic safety and management countermeasures[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2015,11(6):110.[doi:10.11731/j.issn.1673-193x.2015.10.019]
[4]吴玲,路巧珍,朱彤,等.视觉记忆型次任务对驾驶绩效及安全的影响[J].中国安全生产科学技术,2016,12(5):158.[doi:10.11731/j.issn.1673-193x.2016.05.027]
 WU Ling,LU Qiaozhen,ZHU Tong,et al.Influence of visual memory secondary task on driving performance and safety[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2016,12(6):158.[doi:10.11731/j.issn.1673-193x.2016.05.027]
[5]赵亮,刘浩学.驾驶行为特性与人格特征关系研究[J].中国安全生产科学技术,2016,12(8):171.[doi:10.11731/j.issn.1673-193x.2016.08.029]
 ZHAO Liang,LIU Haoxue.Study on relationship between driving behavior characteristics and personality traits[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2016,12(6):171.[doi:10.11731/j.issn.1673-193x.2016.08.029]
[6]刘君,胡伟超,孙广林.公路突发事件应急预案自动生成系统开发及应用[J].中国安全生产科学技术,2017,13(10):53.[doi:10.11731/j.issn.1673-193x.2017.10.009]
 LIU Jun,HU Weichao,SUN Guanglin.Development and application of automatic generation system for emergency plan of highway emergency[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2017,13(6):53.[doi:10.11731/j.issn.1673-193x.2017.10.009]
[7]王宗直,路堃,陈涛,等.基于格子气模型的北京地铁站内人流移动分析[J].中国安全生产科学技术,2018,14(5):31.[doi:10.11731/j.issn.1673-193x.2018.05.005]
 WANG Zongzhi,LU Kun,CHEN Tao,et al.Analysis on pedestrian flow movement in a subway station of Beijing based on lattice gas model[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2018,14(6):31.[doi:10.11731/j.issn.1673-193x.2018.05.005]

备注/Memo

备注/Memo:
收稿日期: 2018-12-05
* 基金项目: 陕西省自然科学基金项目(2018JQ5142,2017JQ7003)
作者简介: 赵俊玮,硕士研究生,主要研究方向为交通安全。
通信作者: 华珺,硕士研究生,主要研究方向为交通安全。
更新日期/Last Update: 2019-07-09