NDLI: Driver distraction and inattention in the realm of automated driving

Content Provider	IET Digital Library
Author	Cunningham, Mitchell L. Regan, Michael A.
Abstract	Despite the increasing number of automated systems that have been introduced in vehicles over the past decade, highly automated vehicles are not yet capable of driving reliably and safely in all traffic scenarios and conditions. Until they are, humans will need to remain in the loop – to take back vehicle control when the driving capabilities of the automated system(s) are limited or systems fail. This automation-to-manual transition may be problematic if the driver is inattentive or distracted by competing activities. If so, this may compromise the driver's ability to take back control in a safe and timely manner. The aims of this study are to: (a) review what is known about driver inattention and distraction during periods of highly automated driving, (b) to outline countermeasures that have or may have potential to prevent and mitigate the effects of inattention and distraction during automated driving and (c) to highlight future research directions that may further inform the understanding and management of distraction and inattention as vehicles become increasingly automated. The paper concludes by contemplating whether a fully self-driving vehicle may itself be distracted or inattentive to activities critical for safe driving.
Starting Page	407
Ending Page	413
Page Count	7
ISSN	1751956X
Volume Number	12
e-ISSN	17519578
Issue Number	Issue 6, Aug (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/12/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2017.0232
Journal	IET Intelligent Transport Systems
Publisher Date	2017-12-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Automated Driving Automated System Automated Vehicle Automation-to-manual Transition Driver Distraction Driver Inattention Driving Capabilities Intelligent Transport System Road Traffic System Control Road Vehicle Safe Driving Self-driving Vehicle Traffic Condition Traffic Scenario Vehicle Control
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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