Resilient interactions between cyclists and drivers, and what does this mean for automated vehicles?
Resilient interactions between cyclists and drivers, and what does this mean for automated vehicles?
The road transport system is a complex sociotechnical system that relies on a number of formal and informal rules of the road to ensure safety and resilience. Interactions between vulnerable road users and drivers often includes informal communication channels that are tightly linked to social norms, user expectations and the environmental context. Automated vehicles have a challenge in being able to communicate and respond to these informal rules of the road, therefore additional technologies are required to better support vulnerable road users. This paper presents the informal rules that cyclists and drivers employ within a cyclist overtake manoeuvre, through qualitative data collected from focus groups and interviews with road users. These informal rules are classified into the key elements of resilience (monitor, detect, anticipate, respond and learn) to understand how they guide the resilient interactions between road users. Using a human factors approach, the Perceptual Cycle Model shows how information is communicated between different road users and created by the situational context. This is then used to inform how automation will alter the communication between cyclists and drivers, and what additional feedback mechanisms will be needed to support the systems resilience. Technologies that can support these feedback mechanisms are proposed as avenues for future development.
Parnell, Katie J.
3f21709a-403b-40e1-844b-0c0a89063b7b
Merriman, Siobhan E.
93bd85cd-f5a1-4b2c-96f5-7f1df776d07a
Plant, Katherine L.
3638555a-f2ca-4539-962c-422686518a78
May 2024
Parnell, Katie J.
3f21709a-403b-40e1-844b-0c0a89063b7b
Merriman, Siobhan E.
93bd85cd-f5a1-4b2c-96f5-7f1df776d07a
Plant, Katherine L.
3638555a-f2ca-4539-962c-422686518a78
Parnell, Katie J., Merriman, Siobhan E. and Plant, Katherine L.
(2024)
Resilient interactions between cyclists and drivers, and what does this mean for automated vehicles?
Applied Ergonomics, 117, [104237].
(doi:10.1016/j.apergo.2024.104237).
Abstract
The road transport system is a complex sociotechnical system that relies on a number of formal and informal rules of the road to ensure safety and resilience. Interactions between vulnerable road users and drivers often includes informal communication channels that are tightly linked to social norms, user expectations and the environmental context. Automated vehicles have a challenge in being able to communicate and respond to these informal rules of the road, therefore additional technologies are required to better support vulnerable road users. This paper presents the informal rules that cyclists and drivers employ within a cyclist overtake manoeuvre, through qualitative data collected from focus groups and interviews with road users. These informal rules are classified into the key elements of resilience (monitor, detect, anticipate, respond and learn) to understand how they guide the resilient interactions between road users. Using a human factors approach, the Perceptual Cycle Model shows how information is communicated between different road users and created by the situational context. This is then used to inform how automation will alter the communication between cyclists and drivers, and what additional feedback mechanisms will be needed to support the systems resilience. Technologies that can support these feedback mechanisms are proposed as avenues for future development.
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Accepted/In Press date: 11 January 2024
e-pub ahead of print date: 13 February 2024
Published date: May 2024
Additional Information:
This work was supported by the UK Research and Innovation (UKRI) Trustworthy Autonomous Systems (TAS) programme [EPSRC Ref: EP/V026747/1].
Publisher Copyright:
© 2024 The Author(s)
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Local EPrints ID: 487398
URI: http://eprints.soton.ac.uk/id/eprint/487398
ISSN: 0003-6870
PURE UUID: eaa23a21-b01f-493a-abb7-915cc152ec3b
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Date deposited: 20 Feb 2024 12:44
Last modified: 20 Apr 2024 02:43
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Author:
Siobhan E. Merriman
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