Evaluation of Human Acceptance and Comfort of Automated Highway Driving at Different Levels of Automation

Arno Eichberger; Branko Rogic; Philipp Quinz; Ioana Victoria Koglbauer; Christian  Payerl; Michael Haberl; Dusan Malic

doi:10.5281/zenodo.1483643

Evaluation of Human Acceptance and Comfort of Automated Highway Driving at Different Levels of Automation

Arno Eichberger, Branko Rogic, Philipp Quinz, Ioana Victoria Koglbauer, Christian Payerl, Michael Haberl, Dusan Malic

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

Fully automated driving of road vehicles on highways consists of different vehicle control tasks that are currently evolving from research to series production. These tasks are mainly covered by the three following driving systems: Adaptive Cruise Control – ACC, Lane Keeping Assist – LKA and Lane Change Assist - LCA. Among these systems, different levels of automation are available, e.g. warning/informing, intervene on demand and also partially automated systems. This research presents the first part of a feasibility study about an intuitive switching mechanism using a Human-Machine Interface (HMI) that combines aforementioned systems in order to adjust the level of automation of SAE levels 0 to 3, (Smith 2013), according to the preferences of a human driver. Driving systems of the levels 0, 2 and 3 together with a novel HMI concept are implemented in a driving simulator and tested with respect to acceptance and comfort as well as to reliability by a sample of 20 volunteer drivers. The proof of concept of each system as well as the testing form the basis for a later implementation of the presented intuitive switching mechanism.

Original language	English
Title of host publication	7th Transport Research Arena (TRA 2018)
Number of pages	7
DOIs	https://doi.org/10.5281/zenodo.1483643
Publication status	Published - 18 Apr 2018
Event	Transport Research Arena 2018: A digital era for transport - Wien, Austria Duration: 16 Apr 2018 → 19 Apr 2018 http://www.traconference.eu/

Conference

Conference	Transport Research Arena 2018
Abbreviated title	TRA 2018
Country/Territory	Austria
City	Wien
Period	16/04/18 → 19/04/18
Internet address	http://www.traconference.eu/

Keywords

Safety of Automated Transport
Human Factors
Human Machine Interfaces (HMI)
User Needs
User Acceptance
Customer Satisfaction

ASJC Scopus subject areas

Automotive Engineering

Fields of Expertise

Mobility & Production

Treatment code (Nähere Zuordnung)

Theoretical

Access to Document

10.5281/zenodo.1483643Licence: CC BY-NC-ND 4.0

FTG-P36 IAFA - AP2220 Integration and Validation of Driver Assistance- and semi-/automated driving functions (IAFA)
Samiee, S., Eichberger, A., Bernsteiner, S., Rogic, B. & Semmer, M.
1/07/14 → 30/06/17
Project: Research project

Cite this

@inproceedings{54dfa82f0fbc40c3a5b18ff82baea90a,

title = "Evaluation of Human Acceptance and Comfort of Automated Highway Driving at Different Levels of Automation",

abstract = "Fully automated driving of road vehicles on highways consists of different vehicle control tasks that are currently evolving from research to series production. These tasks are mainly covered by the three following driving systems: Adaptive Cruise Control – ACC, Lane Keeping Assist – LKA and Lane Change Assist - LCA. Among these systems, different levels of automation are available, e.g. warning/informing, intervene on demand and also partially automated systems. This research presents the first part of a feasibility study about an intuitive switching mechanism using a Human-Machine Interface (HMI) that combines aforementioned systems in order to adjust the level of automation of SAE levels 0 to 3, (Smith 2013), according to the preferences of a human driver. Driving systems of the levels 0, 2 and 3 together with a novel HMI concept are implemented in a driving simulator and tested with respect to acceptance and comfort as well as to reliability by a sample of 20 volunteer drivers. The proof of concept of each system as well as the testing form the basis for a later implementation of the presented intuitive switching mechanism. ",

keywords = "Environmental Impact of Transport, Decarbonization, Mobility in Smart Cities, Transport Hubs, Transport Modelling and Management, Electromobility, Safety of Automated Transport, Human Factors, Human Machine Interfaces (HMI), User Needs, User Acceptance, Customer Satisfaction",

author = "Arno Eichberger and Branko Rogic and Philipp Quinz and Koglbauer, {Ioana Victoria} and Christian Payerl and Michael Haberl and Dusan Malic",

year = "2018",

month = apr,

day = "18",

doi = "10.5281/zenodo.1483643",

language = "English",

booktitle = "7th Transport Research Arena (TRA 2018)",

note = "Transport Research Arena 2018 : A digital era for transport, TRA 2018 ; Conference date: 16-04-2018 Through 19-04-2018",

url = "http://www.traconference.eu/",

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T1 - Evaluation of Human Acceptance and Comfort of Automated Highway Driving at Different Levels of Automation

AU - Eichberger, Arno

AU - Rogic, Branko

AU - Quinz, Philipp

AU - Koglbauer, Ioana Victoria

AU - Payerl, Christian

AU - Haberl, Michael

AU - Malic, Dusan

PY - 2018/4/18

Y1 - 2018/4/18

N2 - Fully automated driving of road vehicles on highways consists of different vehicle control tasks that are currently evolving from research to series production. These tasks are mainly covered by the three following driving systems: Adaptive Cruise Control – ACC, Lane Keeping Assist – LKA and Lane Change Assist - LCA. Among these systems, different levels of automation are available, e.g. warning/informing, intervene on demand and also partially automated systems. This research presents the first part of a feasibility study about an intuitive switching mechanism using a Human-Machine Interface (HMI) that combines aforementioned systems in order to adjust the level of automation of SAE levels 0 to 3, (Smith 2013), according to the preferences of a human driver. Driving systems of the levels 0, 2 and 3 together with a novel HMI concept are implemented in a driving simulator and tested with respect to acceptance and comfort as well as to reliability by a sample of 20 volunteer drivers. The proof of concept of each system as well as the testing form the basis for a later implementation of the presented intuitive switching mechanism.

AB - Fully automated driving of road vehicles on highways consists of different vehicle control tasks that are currently evolving from research to series production. These tasks are mainly covered by the three following driving systems: Adaptive Cruise Control – ACC, Lane Keeping Assist – LKA and Lane Change Assist - LCA. Among these systems, different levels of automation are available, e.g. warning/informing, intervene on demand and also partially automated systems. This research presents the first part of a feasibility study about an intuitive switching mechanism using a Human-Machine Interface (HMI) that combines aforementioned systems in order to adjust the level of automation of SAE levels 0 to 3, (Smith 2013), according to the preferences of a human driver. Driving systems of the levels 0, 2 and 3 together with a novel HMI concept are implemented in a driving simulator and tested with respect to acceptance and comfort as well as to reliability by a sample of 20 volunteer drivers. The proof of concept of each system as well as the testing form the basis for a later implementation of the presented intuitive switching mechanism.

KW - Environmental Impact of Transport

KW - Decarbonization

KW - Mobility in Smart Cities

KW - Transport Hubs

KW - Transport Modelling and Management

KW - Electromobility

KW - Safety of Automated Transport

KW - Human Factors

KW - Human Machine Interfaces (HMI)

KW - User Needs

KW - User Acceptance

KW - Customer Satisfaction

U2 - 10.5281/zenodo.1483643

DO - 10.5281/zenodo.1483643

M3 - Conference paper

BT - 7th Transport Research Arena (TRA 2018)

T2 - Transport Research Arena 2018

Y2 - 16 April 2018 through 19 April 2018

ER -

Evaluation of Human Acceptance and Comfort of Automated Highway Driving at Different Levels of Automation

Abstract

Conference

Keywords

ASJC Scopus subject areas

Fields of Expertise

Treatment code (Nähere Zuordnung)

Access to Document

Fingerprint

Projects

FTG-P36 IAFA - AP2220 Integration and Validation of Driver Assistance- and semi-/automated driving functions (IAFA)

Cite this