Driving performance after self-regulated control transitions in highly automated vehicles
Driving performance after self-regulated control transitions in highly automated vehicles
Objective: This study aims to explore whether driver-paced, non-critical transitions of control may counteract some of the after-effects observed in the contemporary literature, resulting in higher levels of vehicle control.
Background: Research into control transitions in highly automated driving has focused on urgent scenarios where drivers are given a relatively short time span to respond to a request to resume manual control, resulting in seemingly scrambled control when manual control is resumed.
Method: Twenty-six drivers drove two scenarios with an automated driving feature activated. Drivers were asked to read a newspaper, or to monitor the system, and to relinquish, or resume, control from the automation when prompted by vehicle systems. Driving performance in terms of lane-positioning, and steering behaviour was assessed for 20 seconds post resuming control to capture the resulting level of control.
Results: It was found that lane-positioning was virtually unaffected for the duration of the 20-second time span in both automated conditions compared to the manual baseline when drivers resumed manual control, however significant increases in the standard deviation of steering input was found for both automated conditions compared to baseline. No significant differences were found between the two automated conditions.
Conclusion: The results indicate that when drivers self-paced the transfer back to manual control they exhibit less of the detrimental effects observed in system-paced conditions.
Application: It was shown that self-paced transitions could reduce the risk of accidents near the edge of the Operational Design Domain. Vehicle manufacturers must consider these benefits when designing contemporary systems.
Eriksson, Alexander
75015c12-48a6-41ac-8fc4-15b1d71237f3
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Eriksson, Alexander
75015c12-48a6-41ac-8fc4-15b1d71237f3
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Eriksson, Alexander and Stanton, Neville A.
(2017)
Driving performance after self-regulated control transitions in highly automated vehicles.
Human Factors.
(doi:10.1177/0018720817728774).
Abstract
Objective: This study aims to explore whether driver-paced, non-critical transitions of control may counteract some of the after-effects observed in the contemporary literature, resulting in higher levels of vehicle control.
Background: Research into control transitions in highly automated driving has focused on urgent scenarios where drivers are given a relatively short time span to respond to a request to resume manual control, resulting in seemingly scrambled control when manual control is resumed.
Method: Twenty-six drivers drove two scenarios with an automated driving feature activated. Drivers were asked to read a newspaper, or to monitor the system, and to relinquish, or resume, control from the automation when prompted by vehicle systems. Driving performance in terms of lane-positioning, and steering behaviour was assessed for 20 seconds post resuming control to capture the resulting level of control.
Results: It was found that lane-positioning was virtually unaffected for the duration of the 20-second time span in both automated conditions compared to the manual baseline when drivers resumed manual control, however significant increases in the standard deviation of steering input was found for both automated conditions compared to baseline. No significant differences were found between the two automated conditions.
Conclusion: The results indicate that when drivers self-paced the transfer back to manual control they exhibit less of the detrimental effects observed in system-paced conditions.
Application: It was shown that self-paced transitions could reduce the risk of accidents near the edge of the Operational Design Domain. Vehicle manufacturers must consider these benefits when designing contemporary systems.
Text
Driving Performance After Self_Regulated Control Transitions in Highly Automated Vehicles
- Accepted Manuscript
More information
Accepted/In Press date: 4 August 2017
e-pub ahead of print date: 13 September 2017
Identifiers
Local EPrints ID: 414241
URI: http://eprints.soton.ac.uk/id/eprint/414241
ISSN: 0018-7208
PURE UUID: c322bc58-8e07-464d-80b6-d0cee6022677
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Date deposited: 20 Sep 2017 16:31
Last modified: 16 Mar 2024 04:01
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Author:
Alexander Eriksson
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