A discrete-event simulation model for driver performance assessment: application to autonomous vehicle cockpit design optimization - Archive ouverte HAL
Communication Dans Un Congrès Année : 2020

A discrete-event simulation model for driver performance assessment: application to autonomous vehicle cockpit design optimization

Ilya Yuskevich
Kahina Amokrane
Abdelkrim Doufene
  • Fonction : Auteur
Marija Jankovic

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.
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Dates et versions

hal-02866691 , version 1 (17-06-2020)

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Ilya Yuskevich, A. Hein, Kahina Amokrane, 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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