Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Taking Over Control from Highly Automated Vehicles

Authors: Christian Gold; Klaus Bengler;

Taking Over Control from Highly Automated Vehicles

Abstract

Future cars will be able to execute the longitudinal and lateral control and other subtasks of driving. Automation effects, known in other domains like aviation, rail traffic or manufacturing, will emerge in road transportation with consequences hard to predict from the present point of view. This paper discusses the current state of automation research in road traffic, concerning the take-over at system limits. Measurements like the take-over time and the maximum accelerations are suggested and substantiated with data from different experiments and literature. Furthermore, the procedure of such take-over situations is defined in a generic way. Based on studies and experience, advice is given concerning methods and lessons learned in designing and conducting take-over studies in driving simulation. This includes the test and scenario design and which dependent variables to use as metrics. Detailed information is given on how to generate proper control conditions by driving manually without automation. Core themes like how to keep situation presentation constant even for manual drivers and which measures to use to compare a take-over to manual driving are addressed. Finally, a prospect is given on further needs for research and limitations of current known studies.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!