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http://dx.doi.org/10.12815/kits.2022.21.4.167

Analysis of Factors Affecting the Take-over Time of Automated Vehicles Using a Meta-analysis  

Lee, Kyeongjin (Dept. of Transportation System Eng., Ajou University)
Park, Sungho (Dept. of Transportation System Eng., Ajou University)
Park, Giok (Korea Automobile Testing & Research Institute, Korea Transportation Safety Authority)
Park, Jangho (Dept. of Civil Systems Eng., Ajou University)
Yun, Ilsoo (Dept. of Transportation System Eng., Ajou University)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.21, no.4, 2022 , pp. 167-189 More about this Journal
Abstract
In the case of SAE autonomous driving levels 2 and 3, since complete autonomous driving is impossible, the take-over process is essential, and take-over time(TOT) is the most important factor in determining the safety of the autonomous driving system. Accordingly, research on TOT is being actively conducted, but each research is independently conducted and general conclusions that integrate various research results are required. Therefore, in this study, the factors affecting TOT were analyzed using meta-analysis, which integrates the results of individual studies and presents an integrated opinion. As a result of meta-analysis, a total of 10 influencing factors were selected, and most of them were related to the non-driving related task(NDRT) type. In addition, implications for the future research direction of take-over and NDRT were presented.
Keywords
Autonomous driving; Take-over; Take-over time; Meta-analysis; Non-driving related task;
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