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

Authors
  • Yuskevich, Ilya
  • Hein, A.
  • Amokrane-Ferka, Kahina
  • Doufene, Abdelkrim
  • Jankovic, Marija
Type
Published Article
Publication Date
Jun 18, 2020
Submission Date
Jun 18, 2020
Identifiers
DOI: 10.1017/dsd.2020.157
Source
arXiv
License
Yellow
External links

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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