Cited time in webofscience Cited time in scopus

Situation Awareness and Transitions in Highly Automated Driving A Framework and Mini-Review

Title
Situation Awareness and Transitions in Highly Automated Driving A Framework and Mini-Review
Author(s)
Son, Joon WooPark, Myoung Ouk
DGIST Authors
Son, Joon WooPark, Myoung Ouk
Issued Date
2017-08
Type
Article
Article Type
Review
ISSN
2165-7556
Abstract
The human factors of transition in highly automated driving is becoming crucial, because transitions between the driver and the automation will remain a key element of automated driving until fully automated driving replace manual operation. This paper aims to suggest the framework to investigate human factors in transition of highly automated driving. The framework classifies transitions according to the transition initiator, control after transition, and situation awareness. Based on the framework, we retrieved previous studies and categorized their experimental designs. The inclusion criteria for the review were transitions which involved SAE level 3 automated driving and the research topics on driver behavior and/or performance during a transition. Finally, we interpreted the empirical studies on transitions using the proposed framework, and suggested areas for future research.
URI
http://hdl.handle.net/20.500.11750/6442
DOI
10.4172/2165-7556.1000212
Publisher
Omics Publishing Group
Related Researcher
Files in This Item:

There are no files associated with this item.

Appears in Collections:
Division of AI, Big data and Block chain 1. Journal Articles

qrcode

  • twitter
  • facebook
  • mendeley

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE