A DISCRETE-EVENT SIMULATION MODEL for DRIVER PERFORMANCE ASSESSMENT: APPLICATION to AUTONOMOUS VEHICLE COCKPIT DESIGN OPTIMIZATION

I. Iuskevich; A. M. Hein; K. Amokrane-Ferka; A. Doufene; M. Jankovic

doi:10.1017/dsd.2020.157

A DISCRETE-EVENT SIMULATION MODEL for DRIVER PERFORMANCE ASSESSMENT: APPLICATION to AUTONOMOUS VEHICLE COCKPIT DESIGN OPTIMIZATION

I. Iuskevich, A. M. Hein, K. Amokrane-Ferka, A. Doufene, M. Jankovic

Résultats de recherche: Contribution à un journal › ???researchoutput.researchoutputtypes.contributiontojournal.conferencearticle??? › Revue par des pairs

Résumé

The latest advances in the design of vehicles with the adaptive level of automation pose new challenges in the vehicle-driver interaction. Safety requirements underline the need to explore optimal cockpit architectures with regard to driver cognitive and perceptual workload, eyes-off-the-road time and situation awareness. We propose to integrate existing task analysis approaches into system architecture evaluation for the early-stage design optimization. We built the discrete-event simulation tool and applied it within the multi-sensory (sight, sound, touch) cockpit design industrial project.

langue originale	Anglais
Pages (de - à)	2521-2530
Nombre de pages	10
journal	Proceedings of the Design Society: DESIGN Conference
Volume	1
Les DOIs	https://doi.org/10.1017/dsd.2020.157
état	Publié - 1 janv. 2020
Modification externe	Oui
Evénement	16th International Design Conference, DESIGN 2020 - Virtual, Online Durée: 26 oct. 2020 → 29 oct. 2020

Accès au document

10.1017/dsd.2020.157

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title = "A DISCRETE-EVENT SIMULATION MODEL for DRIVER PERFORMANCE ASSESSMENT: APPLICATION to AUTONOMOUS VEHICLE COCKPIT DESIGN OPTIMIZATION",

abstract = "The latest advances in the design of vehicles with the adaptive level of automation pose new challenges in the vehicle-driver interaction. Safety requirements underline the need to explore optimal cockpit architectures with regard to driver cognitive and perceptual workload, eyes-off-the-road time and situation awareness. We propose to integrate existing task analysis approaches into system architecture evaluation for the early-stage design optimization. We built the discrete-event simulation tool and applied it within the multi-sensory (sight, sound, touch) cockpit design industrial project.",

keywords = "autonomous vehicle, design optimisation, ergonomics, human-machine interface, model-based engineering",

author = "I. Iuskevich and Hein, {A. M.} and K. Amokrane-Ferka and A. Doufene and M. Jankovic",

note = "Publisher Copyright: {\textcopyright} The Author(s), 2020. Published by Cambridge University Press.; 16th International Design Conference, DESIGN 2020 ; Conference date: 26-10-2020 Through 29-10-2020",

year = "2020",

month = jan,

day = "1",

doi = "10.1017/dsd.2020.157",

language = "English",

volume = "1",

pages = "2521--2530",

journal = "Proceedings of the Design Society: DESIGN Conference",

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A DISCRETE-EVENT SIMULATION MODEL for DRIVER PERFORMANCE ASSESSMENT: APPLICATION to AUTONOMOUS VEHICLE COCKPIT DESIGN OPTIMIZATION. / Iuskevich, I.; Hein, A. M.; Amokrane-Ferka, K. et al.
Dans: Proceedings of the Design Society: DESIGN Conference, Vol 1, 01.01.2020, p. 2521-2530.

Résultats de recherche: Contribution à un journal › ???researchoutput.researchoutputtypes.contributiontojournal.conferencearticle??? › Revue par des pairs

TY - JOUR

T1 - A DISCRETE-EVENT SIMULATION MODEL for DRIVER PERFORMANCE ASSESSMENT

T2 - 16th International Design Conference, DESIGN 2020

AU - Iuskevich, I.

AU - Hein, A. M.

AU - Amokrane-Ferka, K.

AU - Doufene, A.

AU - Jankovic, M.

N1 - Publisher Copyright: © The Author(s), 2020. Published by Cambridge University Press.

PY - 2020/1/1

Y1 - 2020/1/1

N2 - The latest advances in the design of vehicles with the adaptive level of automation pose new challenges in the vehicle-driver interaction. Safety requirements underline the need to explore optimal cockpit architectures with regard to driver cognitive and perceptual workload, eyes-off-the-road time and situation awareness. We propose to integrate existing task analysis approaches into system architecture evaluation for the early-stage design optimization. We built the discrete-event simulation tool and applied it within the multi-sensory (sight, sound, touch) cockpit design industrial project.

AB - The latest advances in the design of vehicles with the adaptive level of automation pose new challenges in the vehicle-driver interaction. Safety requirements underline the need to explore optimal cockpit architectures with regard to driver cognitive and perceptual workload, eyes-off-the-road time and situation awareness. We propose to integrate existing task analysis approaches into system architecture evaluation for the early-stage design optimization. We built the discrete-event simulation tool and applied it within the multi-sensory (sight, sound, touch) cockpit design industrial project.

KW - autonomous vehicle

KW - design optimisation

KW - ergonomics

KW - human-machine interface

KW - model-based engineering

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SP - 2521

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JO - Proceedings of the Design Society: DESIGN Conference

JF - Proceedings of the Design Society: DESIGN Conference

Y2 - 26 October 2020 through 29 October 2020

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