Who is in responsible for automated driving? A macro-level insight into automated driving in the United Kingdom using the Risk Management Framework and Social Network Analysis
Who is in responsible for automated driving? A macro-level insight into automated driving in the United Kingdom using the Risk Management Framework and Social Network Analysis
To date, vehicle manufacturers have largely been left to their own initiatives when it comes to the design, development and implementation of automated driving features. Whilst this has enabled developments within the field to accelerate at a rapid pace, we are also now beginning to see the negative aspects of automated design (e.g., driver complacency, automation misuse and ethical dilemmas). It is therefore becoming increasingly important to identify systemic aspects that can address some of these Human Factors challenges. This paper applies the principles of the Risk Management Framework to explore the wider systemic issues associated with automated driving in the United Kingdom through the novel application of network metrics. The authors propose a number of recommendations targeted at each level of the Risk Management Framework that seek to shift the power of influence away from vehicle manufacturers and back into the hands of governing bodies.
Driving automation, Network analysis, Risk management framework, Social network analysis
1-9
Banks, Victoria A.
0dbdcad0-c654-4b87-a804-6a7548d0196d
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Plant, Katherine L.
3638555a-f2ca-4539-962c-422686518a78
1 November 2019
Banks, Victoria A.
0dbdcad0-c654-4b87-a804-6a7548d0196d
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Plant, Katherine L.
3638555a-f2ca-4539-962c-422686518a78
Banks, Victoria A., Stanton, Neville A. and Plant, Katherine L.
(2019)
Who is in responsible for automated driving? A macro-level insight into automated driving in the United Kingdom using the Risk Management Framework and Social Network Analysis.
Applied Ergonomics, 81, , [102904].
(doi:10.1016/j.apergo.2019.102904).
Abstract
To date, vehicle manufacturers have largely been left to their own initiatives when it comes to the design, development and implementation of automated driving features. Whilst this has enabled developments within the field to accelerate at a rapid pace, we are also now beginning to see the negative aspects of automated design (e.g., driver complacency, automation misuse and ethical dilemmas). It is therefore becoming increasingly important to identify systemic aspects that can address some of these Human Factors challenges. This paper applies the principles of the Risk Management Framework to explore the wider systemic issues associated with automated driving in the United Kingdom through the novel application of network metrics. The authors propose a number of recommendations targeted at each level of the Risk Management Framework that seek to shift the power of influence away from vehicle manufacturers and back into the hands of governing bodies.
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More information
Accepted/In Press date: 19 July 2019
e-pub ahead of print date: 31 July 2019
Published date: 1 November 2019
Keywords:
Driving automation, Network analysis, Risk management framework, Social network analysis
Identifiers
Local EPrints ID: 437494
URI: http://eprints.soton.ac.uk/id/eprint/437494
ISSN: 0003-6870
PURE UUID: af09990b-8935-440c-a847-50a6fe91899a
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Date deposited: 31 Jan 2020 17:36
Last modified: 18 Mar 2024 03:15
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