Does Increasing Takeover Time Budget Improve Driver Takeover Performance in Different Hazard Visibility Scenarios?

Autonomous driving technology has the potential to significantly reduce the number of traffic accidents. However, until full automation is achieved, drivers will still need to take over the vehicle in complex and varied scenarios that the autonomous driving system cannot handle. Therefore, optimal takeover time budget is required to enhance takeover performance and driving safety. This paper designs takeover tasks in different hazard visibility scenarios (obvious hazard scenarios, hidden hazard scenarios) and investigates the effect of different takeover time budgets ($5 \mathrm{~s}, 7 \mathrm{~s}$, and 9 s) on takeover performance through ergonomics experiments. Performance analysis and subjective evaluation methods are further used to analyze the data on driver takeover performance under different hazard scenarios and takeover time budgets.

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Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/ieem62345.2024.10857099
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
0.00

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article

Does Increasing Takeover Time Budget Improve Driver Takeover Performance in Different Hazard Visibility Scenarios?

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Traffic and Road Safety
article

Does Increasing Takeover Time Budget Improve Driver Takeover Performance in Different Hazard Visibility Scenarios?

Mingjie Li, Yiyan Wang, Wei-Chi Huang, Zi-Jian Han, Ya-Feng Niu
article en

Abstract

Autonomous driving technology has the potential to significantly reduce the number of traffic accidents. However, until full automation is achieved, drivers will still need to take over the vehicle in complex and varied scenarios that the autonomous driving system cannot handle. Therefore, optimal takeover time budget is required to enhance takeover performance and driving safety. This paper designs takeover tasks in different hazard visibility scenarios (obvious hazard scenarios, hidden hazard scenarios) and investigates the effect of different takeover time budgets ($5 \mathrm{~s}, 7 \mathrm{~s}$, and 9 s) on takeover performance through ergonomics experiments. Performance analysis and subjective evaluation methods are further used to analyze the data on driver takeover performance under different hazard scenarios and takeover time budgets.

Southeast University (CN)
National Natural Science Foundation of China, Southeast University
Climate action
Openalex Percentile: Top 67%
Traffic and Road Safety
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