Transition to manual: comparing simulator with on-road control transitions
Transition to manual: comparing simulator with on-road control transitions
Background: Whilst previous research has explored how driver behaviour in simulators may transfer to the open road, there has been relatively little research showing the same transfer within the field of driving automation. As a consequence, most research into human-automation interaction has primarily been carried out in a research laboratory or on closed-circuit test tracks.
Objective: The aim of this study was to assess whether research into non-critical control transactions in highly automated vehicles performed in driving simulators correlate with road driving conditions.
Method: Twenty six drivers drove a highway scenario using an automated driving mode in the simulator and twelve drivers drove on a public motorway in a Tesla Model S with the Autopilot activated. Drivers were asked to relinquish, or resume control from the automation when prompted by the vehicle interface in both the simulator and on road condition.
Results: Drivers were generally faster to resume control in the on-road driving condition. However, strong positive correlations were found between the simulator and on road driving conditions for drivers transferring control to and from automation. No significant differences were found with regard to workload, perceived usefulness and satisfaction between the simulator and on-road drives.
Conclusion: The results indicate high levels of relative validity of driving simulators as a research tool for automated driving research.
Automated Driving, Simulator Validity, Transfer of control, vehicle automation, driver behaviour
227-234
Eriksson, Alexander
75015c12-48a6-41ac-8fc4-15b1d71237f3
Banks, Victoria
0dbdcad0-c654-4b87-a804-6a7548d0196d
Stanton, Neville
351a44ab-09a0-422a-a738-01df1fe0fadd
May 2017
Eriksson, Alexander
75015c12-48a6-41ac-8fc4-15b1d71237f3
Banks, Victoria
0dbdcad0-c654-4b87-a804-6a7548d0196d
Stanton, Neville
351a44ab-09a0-422a-a738-01df1fe0fadd
Eriksson, Alexander, Banks, Victoria and Stanton, Neville
(2017)
Transition to manual: comparing simulator with on-road control transitions.
Accident Analysis & Prevention, 102, .
(doi:10.1016/j.aap.2017.03.011).
Abstract
Background: Whilst previous research has explored how driver behaviour in simulators may transfer to the open road, there has been relatively little research showing the same transfer within the field of driving automation. As a consequence, most research into human-automation interaction has primarily been carried out in a research laboratory or on closed-circuit test tracks.
Objective: The aim of this study was to assess whether research into non-critical control transactions in highly automated vehicles performed in driving simulators correlate with road driving conditions.
Method: Twenty six drivers drove a highway scenario using an automated driving mode in the simulator and twelve drivers drove on a public motorway in a Tesla Model S with the Autopilot activated. Drivers were asked to relinquish, or resume control from the automation when prompted by the vehicle interface in both the simulator and on road condition.
Results: Drivers were generally faster to resume control in the on-road driving condition. However, strong positive correlations were found between the simulator and on road driving conditions for drivers transferring control to and from automation. No significant differences were found with regard to workload, perceived usefulness and satisfaction between the simulator and on-road drives.
Conclusion: The results indicate high levels of relative validity of driving simulators as a research tool for automated driving research.
Other
Transition to Manual_contrasting simulator with on road control_RG
- Accepted Manuscript
More information
Accepted/In Press date: 11 March 2017
e-pub ahead of print date: 22 March 2017
Published date: May 2017
Keywords:
Automated Driving, Simulator Validity, Transfer of control, vehicle automation, driver behaviour
Organisations:
Transportation Group
Identifiers
Local EPrints ID: 406995
URI: http://eprints.soton.ac.uk/id/eprint/406995
ISSN: 0001-4575
PURE UUID: 874f167e-9101-4de7-9696-a05a4fb32554
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Date deposited: 29 Mar 2017 01:08
Last modified: 16 Mar 2024 05:11
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Author:
Alexander Eriksson
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