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Autonomous Vehicles and Vulnerable Road-Users—Important Considerations and Requirements Based on Crash Data from Two Countries

(1) Background: Passenger vehicles equipped with advanced driver-assistance system (ADAS) functionalities are becoming more prevalent within vehicle fleets. However, the full effects of offering such systems, which may allow for drivers to become less than 100% engaged with the task of driving, may...

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Autores principales: Morris, Andrew Paul, Haworth, Narelle, Filtness, Ashleigh, Nguatem, Daryl-Palma Asongu, Brown, Laurie, Rakotonirainy, Andry, Glaser, Sebastien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8300997/
https://www.ncbi.nlm.nih.gov/pubmed/34356718
http://dx.doi.org/10.3390/bs11070101
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author Morris, Andrew Paul
Haworth, Narelle
Filtness, Ashleigh
Nguatem, Daryl-Palma Asongu
Brown, Laurie
Rakotonirainy, Andry
Glaser, Sebastien
author_facet Morris, Andrew Paul
Haworth, Narelle
Filtness, Ashleigh
Nguatem, Daryl-Palma Asongu
Brown, Laurie
Rakotonirainy, Andry
Glaser, Sebastien
author_sort Morris, Andrew Paul
collection PubMed
description (1) Background: Passenger vehicles equipped with advanced driver-assistance system (ADAS) functionalities are becoming more prevalent within vehicle fleets. However, the full effects of offering such systems, which may allow for drivers to become less than 100% engaged with the task of driving, may have detrimental impacts on other road-users, particularly vulnerable road-users, for a variety of reasons. (2) Crash data were analysed in two countries (Great Britain and Australia) to examine some challenging traffic scenarios that are prevalent in both countries and represent scenarios in which future connected and autonomous vehicles may be challenged in terms of safe manoeuvring. (3) Road intersections are currently very common locations for vulnerable road-user accidents; traffic flows and road-user behaviours at intersections can be unpredictable, with many vehicles behaving inconsistently (e.g., red-light running and failure to stop or give way), and many vulnerable road-users taking unforeseen risks. (4) Conclusions: The challenges of unpredictable vulnerable road-user behaviour at intersections (including road-users violating traffic or safe-crossing signals, or taking other risks) combined with the lack of knowledge of CAV responses to intersection rules, could be problematic. This could be further compounded by changes to nonverbal communication that currently exist between road-users, which could become more challenging once CAVs become more widespread.
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spelling pubmed-83009972021-07-24 Autonomous Vehicles and Vulnerable Road-Users—Important Considerations and Requirements Based on Crash Data from Two Countries Morris, Andrew Paul Haworth, Narelle Filtness, Ashleigh Nguatem, Daryl-Palma Asongu Brown, Laurie Rakotonirainy, Andry Glaser, Sebastien Behav Sci (Basel) Article (1) Background: Passenger vehicles equipped with advanced driver-assistance system (ADAS) functionalities are becoming more prevalent within vehicle fleets. However, the full effects of offering such systems, which may allow for drivers to become less than 100% engaged with the task of driving, may have detrimental impacts on other road-users, particularly vulnerable road-users, for a variety of reasons. (2) Crash data were analysed in two countries (Great Britain and Australia) to examine some challenging traffic scenarios that are prevalent in both countries and represent scenarios in which future connected and autonomous vehicles may be challenged in terms of safe manoeuvring. (3) Road intersections are currently very common locations for vulnerable road-user accidents; traffic flows and road-user behaviours at intersections can be unpredictable, with many vehicles behaving inconsistently (e.g., red-light running and failure to stop or give way), and many vulnerable road-users taking unforeseen risks. (4) Conclusions: The challenges of unpredictable vulnerable road-user behaviour at intersections (including road-users violating traffic or safe-crossing signals, or taking other risks) combined with the lack of knowledge of CAV responses to intersection rules, could be problematic. This could be further compounded by changes to nonverbal communication that currently exist between road-users, which could become more challenging once CAVs become more widespread. MDPI 2021-07-15 /pmc/articles/PMC8300997/ /pubmed/34356718 http://dx.doi.org/10.3390/bs11070101 Text en © 2021 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
Morris, Andrew Paul
Haworth, Narelle
Filtness, Ashleigh
Nguatem, Daryl-Palma Asongu
Brown, Laurie
Rakotonirainy, Andry
Glaser, Sebastien
Autonomous Vehicles and Vulnerable Road-Users—Important Considerations and Requirements Based on Crash Data from Two Countries
title Autonomous Vehicles and Vulnerable Road-Users—Important Considerations and Requirements Based on Crash Data from Two Countries
title_full Autonomous Vehicles and Vulnerable Road-Users—Important Considerations and Requirements Based on Crash Data from Two Countries
title_fullStr Autonomous Vehicles and Vulnerable Road-Users—Important Considerations and Requirements Based on Crash Data from Two Countries
title_full_unstemmed Autonomous Vehicles and Vulnerable Road-Users—Important Considerations and Requirements Based on Crash Data from Two Countries
title_short Autonomous Vehicles and Vulnerable Road-Users—Important Considerations and Requirements Based on Crash Data from Two Countries
title_sort autonomous vehicles and vulnerable road-users—important considerations and requirements based on crash data from two countries
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8300997/
https://www.ncbi.nlm.nih.gov/pubmed/34356718
http://dx.doi.org/10.3390/bs11070101
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