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Examining the Effects of Visibility and Time Headway on the Takeover Risk during Conditionally Automated Driving

The objective of this study is to examine the effects of visibility and time headway on the takeover performance in L3 automated driving. Both non-critical and critical driving scenarios were considered by changing the acceleration value of the leading vehicle. A driving simulator experiment with 18...

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Autores principales: Peng, Haorong, Chen, Feng, Chen, Peiyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655346/
https://www.ncbi.nlm.nih.gov/pubmed/36360784
http://dx.doi.org/10.3390/ijerph192113904
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author Peng, Haorong
Chen, Feng
Chen, Peiyan
author_facet Peng, Haorong
Chen, Feng
Chen, Peiyan
author_sort Peng, Haorong
collection PubMed
description The objective of this study is to examine the effects of visibility and time headway on the takeover performance in L3 automated driving. Both non-critical and critical driving scenarios were considered by changing the acceleration value of the leading vehicle. A driving simulator experiment with 18 driving scenarios was conducted and 30 participants complete the experiment. Based on the data obtained from the experiment, the takeover reaction time, takeover control time, and takeover responses were analyzed. The minimum Time-To-Collision (Min TTC) was used to measure the takeover risk level and a binary logit model for takeover risk levels was estimated. The results indicate that the visibility distance (VD) has no significant effects on the takeover control time, while the time headway (THW) and the acceleration of the leading vehicle (ALV) could affect the takeover control time significantly; most of the participants would push the gas pedal to accelerate the ego vehicle as the takeover response under non-critical scenarios, while braking was the dominant takeover response for participants in critical driving scenarios; decreasing the TCT and taking the appropriate takeover response would reduce the takeover risk significantly, so it is suggested that the automation system should provide the driver with the urgency of the situation ahead and the tips for takeover responses by audio prompts or the head-up display. This study is expected to facilitate the overall understanding of the effects of visibility and time headway on the takeover performance in conditionally automated driving.
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spelling pubmed-96553462022-11-15 Examining the Effects of Visibility and Time Headway on the Takeover Risk during Conditionally Automated Driving Peng, Haorong Chen, Feng Chen, Peiyan Int J Environ Res Public Health Article The objective of this study is to examine the effects of visibility and time headway on the takeover performance in L3 automated driving. Both non-critical and critical driving scenarios were considered by changing the acceleration value of the leading vehicle. A driving simulator experiment with 18 driving scenarios was conducted and 30 participants complete the experiment. Based on the data obtained from the experiment, the takeover reaction time, takeover control time, and takeover responses were analyzed. The minimum Time-To-Collision (Min TTC) was used to measure the takeover risk level and a binary logit model for takeover risk levels was estimated. The results indicate that the visibility distance (VD) has no significant effects on the takeover control time, while the time headway (THW) and the acceleration of the leading vehicle (ALV) could affect the takeover control time significantly; most of the participants would push the gas pedal to accelerate the ego vehicle as the takeover response under non-critical scenarios, while braking was the dominant takeover response for participants in critical driving scenarios; decreasing the TCT and taking the appropriate takeover response would reduce the takeover risk significantly, so it is suggested that the automation system should provide the driver with the urgency of the situation ahead and the tips for takeover responses by audio prompts or the head-up display. This study is expected to facilitate the overall understanding of the effects of visibility and time headway on the takeover performance in conditionally automated driving. MDPI 2022-10-26 /pmc/articles/PMC9655346/ /pubmed/36360784 http://dx.doi.org/10.3390/ijerph192113904 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Peng, Haorong
Chen, Feng
Chen, Peiyan
Examining the Effects of Visibility and Time Headway on the Takeover Risk during Conditionally Automated Driving
title Examining the Effects of Visibility and Time Headway on the Takeover Risk during Conditionally Automated Driving
title_full Examining the Effects of Visibility and Time Headway on the Takeover Risk during Conditionally Automated Driving
title_fullStr Examining the Effects of Visibility and Time Headway on the Takeover Risk during Conditionally Automated Driving
title_full_unstemmed Examining the Effects of Visibility and Time Headway on the Takeover Risk during Conditionally Automated Driving
title_short Examining the Effects of Visibility and Time Headway on the Takeover Risk during Conditionally Automated Driving
title_sort examining the effects of visibility and time headway on the takeover risk during conditionally automated driving
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655346/
https://www.ncbi.nlm.nih.gov/pubmed/36360784
http://dx.doi.org/10.3390/ijerph192113904
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