The University of Southampton
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Control transitions in highly automated driving

Control transitions in highly automated driving
Control transitions in highly automated driving
The focus of this thesis is to assess how drivers interact with automated driving systems, more specifically: how control transitions from automated driving to manual driving and vice versa are executed and can be improved upon. In doing so, it identifies the key elements in research into control transitions in automated driving and addresses them. Whilst automated driving shows great promise in reducing road accident rates and congestion it is no panacea in driving safety at its current level (SAE Level 2 and Level 3). Until full autonomy (SAE Level 4) can be realised drivers will still have to be prepared to resume control when the automated driving system can no longer handle a situation. Research has shown that when drivers are exposed to automation, their reaction time slows, and the sudden change of task creates a sudden spike in workload. Such events could lead to incidents. To investigate this problem, the thesis utilise a multi-method using driving simulators as well as on road trials. Ultimately, the thesis aims to provide insights into how drivers handle the transition of control and whether this transition can be assisted by different levels of information support. Recommendations regarding the design of control transitions in highly automated driving are valuable for policy makers and vehicle manufacturers alike when designing and deploying automated vehicles of the future.
University of Southampton
Eriksson, Hans Olof Alexander
75015c12-48a6-41ac-8fc4-15b1d71237f3
Eriksson, Hans Olof Alexander
75015c12-48a6-41ac-8fc4-15b1d71237f3
Stanton, Neville
351a44ab-09a0-422a-a738-01df1fe0fadd

Eriksson, Hans Olof Alexander (2017) Control transitions in highly automated driving. University of Southampton, Doctoral Thesis, 179pp.

Record type: Thesis (Doctoral)

Abstract

The focus of this thesis is to assess how drivers interact with automated driving systems, more specifically: how control transitions from automated driving to manual driving and vice versa are executed and can be improved upon. In doing so, it identifies the key elements in research into control transitions in automated driving and addresses them. Whilst automated driving shows great promise in reducing road accident rates and congestion it is no panacea in driving safety at its current level (SAE Level 2 and Level 3). Until full autonomy (SAE Level 4) can be realised drivers will still have to be prepared to resume control when the automated driving system can no longer handle a situation. Research has shown that when drivers are exposed to automation, their reaction time slows, and the sudden change of task creates a sudden spike in workload. Such events could lead to incidents. To investigate this problem, the thesis utilise a multi-method using driving simulators as well as on road trials. Ultimately, the thesis aims to provide insights into how drivers handle the transition of control and whether this transition can be assisted by different levels of information support. Recommendations regarding the design of control transitions in highly automated driving are valuable for policy makers and vehicle manufacturers alike when designing and deploying automated vehicles of the future.

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Published date: June 2017

Identifiers

Local EPrints ID: 416080
URI: http://eprints.soton.ac.uk/id/eprint/416080
PURE UUID: 47c8c093-1f77-4d06-9ec6-b32bfcafb77e
ORCID for Hans Olof Alexander Eriksson: ORCID iD orcid.org/0000-0003-1549-1327
ORCID for Neville Stanton: ORCID iD orcid.org/0000-0002-8562-3279

Catalogue record

Date deposited: 01 Dec 2017 17:30
Last modified: 15 Sep 2020 04:01

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Contributors

Author: Hans Olof Alexander Eriksson ORCID iD
Thesis advisor: Neville Stanton ORCID iD

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