模式(计算机接口)
任务(项目管理)
构造(python库)
过程(计算)
计算机科学
控制(管理)
工作(物理)
人机交互
人工智能
工程类
机械工程
操作系统
程序设计语言
系统工程
作者
Haolin Chen,Xiaohua Zhao,Zhenlong Li,Qiang Fu,Qiuhong Wang,Libo Zhao
出处
期刊:IEEE transactions on intelligent vehicles
[Institute of Electrical and Electronics Engineers]
日期:2023-01-01
卷期号:: 1-15
标识
DOI:10.1109/tiv.2023.3280077
摘要
In automated driving, takeover behavior is crucial to safe transition of control. Based on this fact, the goal of the present study is to construct the driver's takeover behavior mode and verify its effectiveness. In the takeover process, we define the takeover behavior mode, which is the inherent mode of completing the takeover task, as the behavioral theoretical framework that drivers should follow when taking over. We conducted a driving simulation experiment to analyze driver takeover behavior in the fog zone, where non-driving-related tasks were external variables. First, we constructed the takeover behavior mode (situation awareness - decision and reaction - takeover performance). Second, we analyzed the characteristics of each stage and the correlation between each stage of the takeover behavior mode accordingly. The result shows that drivers' performance in each stage differed significantly under different non-driving-related tasks. For example, their saccade and gaze duration were longer on the entertainment task than on the work task, and the driver prioritized the longitudinal stability after taking control of the automated vehicle. Results show that there is a correlation between different stages of takeover behavior mode. In this study, we propose the takeover behavior mode, aiming to help beginners and researchers in this field understand the driver takeover process more intuitively and provide behavioral theoretical support for subsequent studies. In addition, the takeover behavior mode can provide support for training drivers in real-world driving situations.
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