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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.
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https://hal.archives-ouvertes.fr/hal-02866691
Contributor : Ilia Iuskevich <>
Submitted on : Wednesday, June 17, 2020 - 11:29:49 AM
Last modification on : Wednesday, July 15, 2020 - 10:36:13 AM

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Ilya Yuskevich, A. Hein, Kahina Amokrane-Ferka, Abdelkrim Doufene, Marija Jankovic. A discrete-event simulation model for driver performance assessment: application to autonomous vehicle cockpit design optimization. Proceedings of the Design Society: DESIGN Conference, Oct 2020, Dubrovnik, Croatia. pp.2521-2530, ⟨10.1017/dsd.2020.157⟩. ⟨hal-02866691⟩

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