Journal of Jilin University(Engineering and Technology Edition) ›› 2024, Vol. 54 ›› Issue (2): 410-418.doi: 10.13229/j.cnki.jdxbgxb.20220378

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Driver's situational awareness in takeover process of L3 automated vehicles

Hong-yu HU1(),Hui-jun ZHANG1,Rong-han YAO2,Guo-ying CHEN1,Fei GAO1()   

  1. 1.State Key Laboratory of Automotive Simulation and Control，Jilin University，Changchun 130022，China
    2.School of Transportation and Logistics，Dalian University of Technology，Dalian 116024，China
  • Received:2022-04-07 Online:2024-02-01 Published:2024-03-29
  • Contact: Fei GAO E-mail:huhongyu@jlu.edu.cn;gaofei123284123@jlu.edu.cn

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Abstract:

In this paper， situational awareness of drivers engaged in different types of non-driving-related tasks （NDRTs） is conducted for takeover readiness of L3 automated vehicles. Simulation testing scenarios are built based on driving simulator platform. Then， the situational awareness readiness was discussed and analyzed through the situational awareness questionnaire and the driver's eye movement behavior measurement. Experimental results show that as NDRTs occupy more sensory modalities， the driver's attention will be less focused on the driving task， and the attention to the elements of the driving environment will be correspondingly reduced， which has a negative impact on the recovery of situational awareness.

Key words: rehicle, automated vehicles, takeover, situation awareness, non-driving related tasks, eye movement

CLC Number: 

  • U471.3

Fig.1

Driving simulator platform"

Fig.2

Diagram of experimental scenario"

Fig.3

Experimental procedure"

Table 1

Question list of situation awareness global assessment technique"

序号兴趣区域SA等级问题答案选项
1道路标志1指出环岛路标的位置目标在驾驶场景中的实际位置
2行人1指出你认为可能对驾驶安全构成威胁的行人的位置目标在驾驶场景中的实际位置
3前方车辆1指出前车位置目标在驾驶场景中的实际位置
4静止车辆1指出停止车辆位置目标在驾驶场景中的实际位置
5限速标志1指出限速标志位置目标在驾驶场景中的实际位置
6静止物体1指出障碍物位置目标在驾驶场景中的实际位置
7车道位置1右边有几条车道，左边有几条车道（包括对向）0/1/2/3/4 /不确定
8前方车辆2停在前面的是蓝色SUV？前面的红色车试图向左并道？前车在模拟停止前做了什么？正确/不正确，因为（颜色、类型、地点）错误，请重新描述情况/减速/转到右车道/转到左车道/不
9总体情况2你认为车辆为什么会提出接管请求道路施工/行人向本车道移动/周围车辆意外操作/前车意外操作/静止行人/车道内静止障碍物/其他车道静止车辆/未列名，请在此填写
10运动车辆2从你旁边经过的那辆车颜色黄/绿/灰/蓝/不确定/不适用（没有车从旁边经过）
11限速标志2当前道路限速多少（km/h）30/40/50/未列出/不确定
12行人2你认为可能对驾驶安全构成威胁的行人类型及数量步行者/跑步者/骑自行车者/静态行人/无
13静止物体2哪个静止物体可能干扰了你的驾驶？施工标志/路障/轮胎/无/不确定
14静止车辆2哪辆静止车辆可能干扰了你的驾驶策略？救护车/消防车/货车/小汽车/无/不确定

Fig.4

Analysis of difference of SA score for different non-driving related tasks"

Fig.5

Analysis of difference of fixation count for different non-driving related tasks"

Fig.6

Analysis of difference of % time in AOIs for different non-driving related tasks"

Fig.7

Analysis of difference of scan path length for different non-driving related tasks"

1 SAE J3016—2021. Taxonomy and definitions for terms related to on-road motor vehicle automated driving systems [S].
2 Dillmann J, Kurpiers C M, Pelzer J, et al. Keeping the driver in the loop through semi-automated or manual lane changes in conditionally automated driving[J]. Accident Analysis and Prevention, 2021, 162: 106397.
3 姚荣涵, 徐文韬, 郭伟伟. 基于因子长短期记忆的驾驶人接管行为及意图识别[J]. 吉林大学学报: 工学版, 2023, 53(3): 758-771.
Yao Rong-han, Xu Wen-tao, Guo Wei-wei. Drivers' takeover behavior and intention recognition based on factor and long short-term memory[J]. Journal of Jilin University (Engineering and Technology Edition), 2023, 53(3): 758-771.
4 华强, 金立生, 郭柏苍, 等. 一种混行环境下驾驶人认知分心识别方法[J]. 吉林大学学报: 工学版, 2022, 52(8): 1800-1807.
Hua Qiang, Jin Li-sheng, Guo Bai-cang, et al. A recognition method for driver's cognitive distraction in simulated mixed traffic environment[J]. Journal of Jilin University (Engineering and Technology Edition), 2022, 52(8): 1800-1807.
5 Dogan E, Rahal M C, Deborne R, et al. Transition of control in a partially automated vehicle: effects of anticipation and non-drivingrelated task involvement[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2017, 46(46): 205-215.
6 钮建伟, 张雪梅, 孙一品, 等. 险情中驾驶人接管自动驾驶车辆的驾驶行为研究[J]. 中国公路学报, 2018, 31(6): 272-280.
Niu Jian-wei, Zhang Xue-mei, Sun Yi-pin, et al. Analysis of the driving behavior during the takeover of automatic driving vehicles in dangerous traffic situations[J]. China Journal of Highway and Transport, 2018, 31(6): 272-280.
7 王抢, 朱彤, 朱可宁, 等. 视觉与听觉次任务对驾驶人视觉的影响及差异[J]. 安全与环境学报, 2014, 14(4): 49-52.
Wang Qiang, Zhu Tong, Zhu Ke-ning, et al. Effects and differences of auditory and visual secondary tasks on drivers' visual[J]. Journal of Safety and Environment, 2014, 14(4): 49-52.
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): 165-171.
Lu Guang-quan, Zhao Peng-yun, Wang Zhao-jie, 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): 165-171.
9 Zeeb K, Buchner A, Schrauf M. What determines the take-over time? An integrated model approach of driver take-over after automated driving[J]. Accident Analysis & Prevention, 2015,78: 212-221.
10 Endsley M R. Measurement of situation awareness in dynamic systems[J]. Human Factors, 1995, 37: 65-84.
11 Kass S J, Cole K S, Stanny C J. Effects of distraction and experience on situation awareness and simulated driving[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2007, 10(4): 321-329.
12 Scott-Parker B, Regt T D, Jones C, et al. The situation awareness of young drivers, middle-aged drivers, and older drivers: same but different? [J]. Case Studies on Transport Policy, 2020, 8(1): 206-214.
13 Zhang T, Yang J, Liang N, et al. Physiological measurements of situation awareness: a systematic review[J]. Human Factors, 2020, 65(5): 737-758.
14 Briggs G F, Hole G J, Turner J A J, et al. The impact of attentional set and situation awareness on dual tasking driving performance[J]. Transportation Research Part F-Traffic Psychology and Behaviour, 2018, 57: 36-47.
15 Liang N, Yang J, Yu D, et al. Using eye-tracking to investigate the effects of pre-takeover visual engagement on situation awareness during automated driving[J]. Accident Analysis & Prevention, 2021, 157: 106-143.
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