|本期目录/Table of Contents|

[1]高岩,尤志栋,罗毅,等.基于驾驶模拟的自动驾驶接管行为研究*[J].中国安全生产科学技术,2021,17(2):140-146.[doi:10.11731/j.issn.1673-193x.2021.02.022]
 GAO Yan,YOU Zhidong,LUO Yi,et al.Study on take-over behavior of automated driving based on driving simulation[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2021,17(2):140-146.[doi:10.11731/j.issn.1673-193x.2021.02.022]
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基于驾驶模拟的自动驾驶接管行为研究*
分享到:

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

卷:
17
期数:
2021年2期
页码:
140-146
栏目:
职业安全卫生管理与技术
出版日期:
2021-02-28

文章信息/Info

Title:
Study on take-over behavior of automated driving based on driving simulation
文章编号:
1673-193X(2021)-02-0140-07
作者:
高岩尤志栋罗毅寿任祯
(1.公安部交通管理科学研究所 道路交通集成优化与安全分析技术国家工程实验室,江苏 无锡 214151;
2.道路交通安全公安部重点实验室,江苏 无锡 214151)
Author(s):
GAO Yan YOU Zhidong LUO Yi SHOU Renzhen
(1.National Engineering Laboratory for Road Transportation Integrated Optimization and Safety Analysis Technologies,Traffic Management Research Institute of the Ministry of Public Security,Wuxi Jiangsu 214151,China;
2.Key Laboratory of Ministry of Public Security for Road Traffic Safety,Wuxi Jiangsu 214151,China)
关键词:
自动驾驶驾驶模拟接管行为驾驶负荷
Keywords:
automated driving driving simulation take-over behavior driving workload
分类号:
X951
DOI:
10.11731/j.issn.1673-193x.2021.02.022
文献标志码:
A
摘要:
为探索有条件自动驾驶对非驾驶相关任务的允准边界,基于实车驾驶模拟器,设计自动驾驶接管试验典型场景,招募30名被试者开展驾驶模拟试验;要求驾驶人执行3种分心形式的驾驶次任务,系统发出接管请求提示后,驾驶人接管车辆控制权以避免险情发生,并分析驾驶人接管反应时间、驾驶负荷以及驾驶绩效等相关数据。结果表明:驾驶次任务涉及的分心形式越复杂,接管过程安全性越差,视觉分心任务与操作分心任务对接管行为影响显著;驾驶人更倾向于选择制动操作接管车辆,次任务分心程度越高,制动接管比例越大;与乘客聊天对接管行为影响不显著,看视频和玩手机游戏均会显著延长接管反应时间,增加工作负荷与车辆纵向减速度,玩手机游戏还会显著提升车辆横向加速度。
Abstract:
In order to explore the allowable boundary of conditional automated driving for the nondrivingrelated tasks,based on a realvehicle driving simulator,a typical scenario for the take-over tests of automated driving was designed,and 30 subjects were recruited to carry out the driving simulation tests.The drivers were required to perform the driving subtasks of three distraction forms.After the system sent a take-over request prompt,the driver would take over the control of vehicle to avoid the danger,and the take-over reaction time,driving workload,driving performance and other related data of the drivers were analyzed.The results showed that the more complicated the distraction form involved in the driving subtask,the worse the safety of take-over process.The visual distraction task and the operation distraction task had significant influence on the take-over behavior.The drivers were more inclined to choose the brake operation to take over the vehicle,and the higher the degree of distraction in the subtask,the greater the proportion of brake take-over.Talking with the passengers had no significant effect on the take-over behavior.Watching videos and playing mobile games would significantly extend the take-over response time,increase the workload and vehicle longitudinal deceleration,and playing mobile games would also significantly increase the vehicle lateral acceleration.

参考文献/References:

[1]房曰荣,沈斐敏.道路交通事故发展趋势分析与预测[J].中国安全生产科学技术,2012,8(3):141-146. FANG Yuerong,SHEN Feimin.Development trend analysis and prediction of traffic accident[J].Journal of Safety Science and Technology,2012,8(3):141-146.
[2]SAE International.Surface vehicle information report:taxonomy and definitions for terms related to on-road motor vehicle automated driving systems[R].New York:SAE International,2014.
[3]吴超仲,吴浩然,吕能超.人机共驾智能汽车的控制权切换与安全性综述[J].交通运输工程学报,2018,18(6):135-145. WU Chaozhong,WU Haoran,LYU Nengchao.Review of control switch and safety of human-computer driving intelligent vehicle[J].Journal of Traffic and Transportation Engineering,2018,18(6):135-145.
[4]MOK B,JOHNS M,LEE K J,et al.Emergency,automation off:unstructured transition timing for distracted drivers of automated vehicles [C]//IEEE 18th International Conference on Intelligent Transportation Systems.IEEE,2015.
[5]KOO J,KWAC J,JU W,et al.Why did my car just do that? Explaining semi-autonomous driving actions to improve driver understanding,trust,and performance[J].International Journal on Interactive Design & Manufacturing (IJIDeM),2015(9):269-275.
[6]PETERMANN S L,HACKENBERG L,MU H T,et al.How long does the driver take? an analysis of driver-overtaking times from different side takes during highly automated driving in a traffic jam[C]//SAE.6th Session Driver Assistance:the way to Automated Driving.Munich:SAE,2013:7-15.
[7]PICCININI G F,RODRIGUES C M,LEITAO M,et al.Reaction to a critical situation during driving with adaptive cruise control for users and non-users of the system[J].Safety Science,72:116-126.
[8]鲁光泉,赵鹏云,王兆杰,等.自动驾驶中视觉次任务对年轻驾驶人接管时间的影响[J].中国公路学报,2018,31(4):169-175. LU Guangquan,ZHAO Pengyun,WANG Zhaojie,et al.Impact of visual secondary task on young drivers’ take-over time in automated driving[J].China Journal of Highway and Transport,2018,31(4):169-175.
[9]NILSSON J,STRAND N,FALCONE P,et al.Driver performance in the presence of adaptive cruise control related failures:implications for safety analysis and fault tolerance[C]// Dependable Systems & Networks Workshop.IEEE,2013.
[10]MERAT N,JAMSON A H,LAI F C H,et al.Highly automated driving,secondary task performance,and driver state[J].Human Factors:The Journal of the Human Factors and Ergonomics Society,2012,54(5):762-771.
[11]RIZZO L,DONDIO P,DELANY S J,et al.Modeling mental workload via rule-based expert system:a comparison with nasa-tlx and workload profile[M].Berlin:Springer International Publishing,2016.
[12]GOLD C,HAPPEE R,BENGLER K.Modeling take-over performance in level 3 conditionally automated vehicles[J].Accident Analysis & Prevention,2018(116):3-13.
[13]RADLMAYR J,GOLD C,LORENZ L,et al.How traffic situations and non-driving related tasks affect the take-over quality in highly automated driving[C]// Human Factors & Ergonomics Society Meeting.SAGE Publications,2014.
[14]KORBER M,GOLD C,LECHNER D,et al.The influence of age on the take-over of vehicle control in highly automated driving[J].Transportation Research Part F:Traffic Psychology and Behaviour,2016,39:19-32.
[15]MORITZ K,THOMAS W,CHRISTOPH B,et al.Prediction of take-over time in highly automated driving by two psychometric tests[J].Dyna,2015,82(193):195-201.
[16]CLARK H,FENG J.Age differences in the takeover of vehicle control and engagement in non-driving-related activities in simulated driving with conditional automation[J].Accident Analysis & Prevention,2016,106:468.
[17]ITO T,TAKATA A,OOSAWA K.Time required for take-over from automated to manual driving[C]//Sae World Congress & Exhibition.2016.
[18]GOLD C,DAMBOCK D,LORENZ L,et al.Take over! How long does it take to get the driver back into the loop?[J].Proceedings of the Human Factors and Ergonomics Society Annual Meeting,2013,57(1):1938-1942.
[19]WALCH M,LANGE K,BAUMANN M,et al.Autonomous driving:investigating the feasibility of car-driver handover assistance[C]// 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications.ACM,2015:11-18.

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备注/Memo

备注/Memo:
收稿日期: 2020-08-28
* 基金项目: 国家自然科学基金项目(51678460);中央级公益性科研院所基本科研业务费专项资金项目(2020SJGC01)
作者简介: 高岩,硕士,副研究员,主要研究方向为道路交通安全、驾驶行为、道路安全评价、交通事故鉴定等。
更新日期/Last Update: 2021-03-11