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

Part of: Engineering Design Practice

Published online by Cambridge University Press:  11 June 2020

I. Iuskevich ,
A. M. Hein ,
K. Amokrane-Ferka ,
A. Doufene  and
M. Jankovic
I. Iuskevich*
Affiliation:
CentraleSupélec, France IRT SystemX, France
A. M. Hein
Affiliation:
CentraleSupélec, France
K. Amokrane-Ferka
Affiliation:
IRT SystemX, France
A. Doufene
Affiliation:
IRT SystemX, France
M. Jankovic
Affiliation:
CentraleSupélec, France
*
*ilia.iuskevich@centralesupelec.fr

Abstract

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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

model-based engineeringdesign optimisationergonomicshuman-machine interfaceautonomous vehicle
Type
Article
Information
Proceedings of the Design Society: DESIGN Conference , Volume 1 , May 2020 , pp. 2521 - 2530
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2020. Published by Cambridge University Press

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