Driving ahead - some human factors issues related to future connected and autonomous vehicles

Although it is not yet certain when fully Connected and Autonomous Vehicles (CAVs) will be functional on roads (if ever), there is some speculation that by 2040, most fleets will be at least semi-autonomous (Botello et al., 2019). In general, the actual vision of a fully automated car has naturally...

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Main Authors:	Andrew Morris, Chris Wilson, Rachel Ma, Pete Thomas
Format:	Default Book chapter
Published:	2022
Subjects:	Automated Vehicles Human Error Vulnerable Road Users Trust in Automation
Online Access:	https://hdl.handle.net/2134/22293766.v1
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id	rr-article-22293766
record_format	Figshare
spelling	rr-article-222937662022-11-30T00:00:00Z Driving ahead - some human factors issues related to future connected and autonomous vehicles Andrew Morris (1258926) Chris Wilson (6203078) Rachel Ma (14807599) Pete Thomas (1249617) Automated Vehicles Human Error Vulnerable Road Users Trust in Automation Although it is not yet certain when fully Connected and Autonomous Vehicles (CAVs) will be functional on roads (if ever), there is some speculation that by 2040, most fleets will be at least semi-autonomous (Botello et al., 2019). In general, the actual vision of a fully automated car has naturally excited the public since Google won the US Defense Department’s urban driving contest in 2007. Despite obvious challenges ahead, the pathway to full automation is now widely accepted as completely achievable and has rapidly become one of the most important subjects of automotive research. Automated technologies offer the capability to improve safety and mobility whilst reducing environmental impacts and it has been suggested that risky driving behaviour, errors and ultimately, crashes will be prevented by “taking the driver out of the loop”. Adaptive driving support and information facilities may improve the driving experience enabling drivers to make better use of their time in routine situations whilst automated traffic management offers the opportunity to manage the road infrastructure much more efficiently providing improvements to mobility and the environment.<p></p> 2022-11-30T00:00:00Z Text Chapter 2134/22293766.v1 https://figshare.com/articles/chapter/Driving_ahead_-_some_human_factors_issues_related_to_future_connected_and_autonomous_vehicles/22293766 CC BY-NC-SA 4.0
institution	Loughborough University
collection	Figshare
topic	Automated Vehicles Human Error Vulnerable Road Users Trust in Automation
spellingShingle	Automated Vehicles Human Error Vulnerable Road Users Trust in Automation Andrew Morris Chris Wilson Rachel Ma Pete Thomas Driving ahead - some human factors issues related to future connected and autonomous vehicles
description	Although it is not yet certain when fully Connected and Autonomous Vehicles (CAVs) will be functional on roads (if ever), there is some speculation that by 2040, most fleets will be at least semi-autonomous (Botello et al., 2019). In general, the actual vision of a fully automated car has naturally excited the public since Google won the US Defense Department’s urban driving contest in 2007. Despite obvious challenges ahead, the pathway to full automation is now widely accepted as completely achievable and has rapidly become one of the most important subjects of automotive research. Automated technologies offer the capability to improve safety and mobility whilst reducing environmental impacts and it has been suggested that risky driving behaviour, errors and ultimately, crashes will be prevented by “taking the driver out of the loop”. Adaptive driving support and information facilities may improve the driving experience enabling drivers to make better use of their time in routine situations whilst automated traffic management offers the opportunity to manage the road infrastructure much more efficiently providing improvements to mobility and the environment.
format	Default Book chapter
author	Andrew Morris Chris Wilson Rachel Ma Pete Thomas
author_facet	Andrew Morris Chris Wilson Rachel Ma Pete Thomas
author_sort	Andrew Morris (1258926)
title	Driving ahead - some human factors issues related to future connected and autonomous vehicles
title_short	Driving ahead - some human factors issues related to future connected and autonomous vehicles
title_full	Driving ahead - some human factors issues related to future connected and autonomous vehicles
title_fullStr	Driving ahead - some human factors issues related to future connected and autonomous vehicles
title_full_unstemmed	Driving ahead - some human factors issues related to future connected and autonomous vehicles
title_sort	driving ahead - some human factors issues related to future connected and autonomous vehicles
publishDate	2022
url	https://hdl.handle.net/2134/22293766.v1
_version_	1797818889429581824

Driving ahead - some human factors issues related to future connected and autonomous vehicles

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