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Autonomous Vehicles: Disengagements, Accidents and Reaction Times

Autonomous vehicles are being viewed with scepticism in their ability to improve safety and the driving experience. A critical issue with automated driving at this stage of its development is that it is not yet reliable and safe. When automated driving fails, or is limited, the autonomous mode disen...

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Detalles Bibliográficos
Autores principales: Dixit, Vinayak V., Chand, Sai, Nair, Divya J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5173339/
https://www.ncbi.nlm.nih.gov/pubmed/27997566
http://dx.doi.org/10.1371/journal.pone.0168054
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author Dixit, Vinayak V.
Chand, Sai
Nair, Divya J.
author_facet Dixit, Vinayak V.
Chand, Sai
Nair, Divya J.
author_sort Dixit, Vinayak V.
collection PubMed
description Autonomous vehicles are being viewed with scepticism in their ability to improve safety and the driving experience. A critical issue with automated driving at this stage of its development is that it is not yet reliable and safe. When automated driving fails, or is limited, the autonomous mode disengages and the drivers are expected to resume manual driving. For this transition to occur safely, it is imperative that drivers react in an appropriate and timely manner. Recent data released from the California trials provide compelling insights into the current factors influencing disengagements of autonomous mode. Here we show that the number of accidents observed has a significantly high correlation with the autonomous miles travelled. The reaction times to take control of the vehicle in the event of a disengagement was found to have a stable distribution across different companies at 0.83 seconds on average. However, there were differences observed in reaction times based on the type of disengagements, type of roadway and autonomous miles travelled. Lack of trust caused by the exposure to automated disengagements was found to increase the likelihood to take control of the vehicle manually. Further, with increased vehicle miles travelled the reaction times were found to increase, which suggests an increased level of trust with more vehicle miles travelled. We believe that this research would provide insurers, planners, traffic management officials and engineers fundamental insights into trust and reaction times that would help them design and engineer their systems.
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spelling pubmed-51733392017-01-04 Autonomous Vehicles: Disengagements, Accidents and Reaction Times Dixit, Vinayak V. Chand, Sai Nair, Divya J. PLoS One Research Article Autonomous vehicles are being viewed with scepticism in their ability to improve safety and the driving experience. A critical issue with automated driving at this stage of its development is that it is not yet reliable and safe. When automated driving fails, or is limited, the autonomous mode disengages and the drivers are expected to resume manual driving. For this transition to occur safely, it is imperative that drivers react in an appropriate and timely manner. Recent data released from the California trials provide compelling insights into the current factors influencing disengagements of autonomous mode. Here we show that the number of accidents observed has a significantly high correlation with the autonomous miles travelled. The reaction times to take control of the vehicle in the event of a disengagement was found to have a stable distribution across different companies at 0.83 seconds on average. However, there were differences observed in reaction times based on the type of disengagements, type of roadway and autonomous miles travelled. Lack of trust caused by the exposure to automated disengagements was found to increase the likelihood to take control of the vehicle manually. Further, with increased vehicle miles travelled the reaction times were found to increase, which suggests an increased level of trust with more vehicle miles travelled. We believe that this research would provide insurers, planners, traffic management officials and engineers fundamental insights into trust and reaction times that would help them design and engineer their systems. Public Library of Science 2016-12-20 /pmc/articles/PMC5173339/ /pubmed/27997566 http://dx.doi.org/10.1371/journal.pone.0168054 Text en © 2016 Dixit et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Dixit, Vinayak V.
Chand, Sai
Nair, Divya J.
Autonomous Vehicles: Disengagements, Accidents and Reaction Times
title Autonomous Vehicles: Disengagements, Accidents and Reaction Times
title_full Autonomous Vehicles: Disengagements, Accidents and Reaction Times
title_fullStr Autonomous Vehicles: Disengagements, Accidents and Reaction Times
title_full_unstemmed Autonomous Vehicles: Disengagements, Accidents and Reaction Times
title_short Autonomous Vehicles: Disengagements, Accidents and Reaction Times
title_sort autonomous vehicles: disengagements, accidents and reaction times
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5173339/
https://www.ncbi.nlm.nih.gov/pubmed/27997566
http://dx.doi.org/10.1371/journal.pone.0168054
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