A Study on the Correlation between Driving Behavior and Driver’s Take-over Time of Level 3 Automated Vehicle on Real Roads
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International Journal of Engineering Trends and Technology (IJETT) | 
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| © 2021 by IJETT Journal | ||
| Volume-69 Issue-2 |
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| Year of Publication : 2021 | ||
| Authors : Youngseok Lee, Yeppeun Lee, Changhyun Jeong |
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| DOI : 10.14445/22315381/IJETT-V69I2P216 |
Citation
MLA Style: Youngseok Lee, Yeppeun Lee, Changhyun Jeong "A Study on the Correlation between Driving Behavior and Driver’s Take-over Time of Level 3 Automated Vehicle on Real Roads" International Journal of Engineering Trends and Technology 69.2(2021):112-117.
APA Style:Youngseok Lee, Yeppeun Lee, Changhyun Jeong. A Study on the Correlation between Driving Behavior and Driver’s Take-over Time of Level 3 Automated Vehicle on Real Roads. International Journal of Engineering Trends and Technology, 69(2), 112-117.
Abstract
Although automated vehicles have been actively researched, they are not widely commercialized because of legal liabilities and technical issues. One of the most complex issues is the liability during the takeover of control between the vehicle and driver as there is no criterion for the time required to notify the driver when automated driving becomes impossible. In order to study the criteria, many researchers implemented a simulator environment and recruited subjects to conduct tests and study. During autonomous driving, other behaviors are made, control is switched, and the driver`s responsiveness is observed. For this purpose, an automated self-driven vehicle capable of driving on a real road was implemented in order to confirm the subject`s responsiveness in a real environment. In addition, a human-factor-collecting environment and a takeover alarm environment were simulated in the vehicle. Approximately 600 take-over event cases from subjects in 70 people in their 20s to 60s were collected. According to the collected and analyzed results, it was confirmed that the difference in reaction time according to the behavior was confirmed, and that age also influenced the reaction time. In addition, through the distribution of response time of drivers, it was confirmed how much in advance the situation should be informed to the driver when automated driving is not possible. Finally, considerations for the operation of automated vehicles (Lv.3) were proposed based on the obtained results.
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Keywords
autonomous, automated vehicle, driver performance, human factors, take-over request