A DISCRETE-EVENT SIMULATION MODEL FOR DRIVER PERFORMANCE ASSESSMENT: APPLICATION TO AUTONOMOUS VEHICLE COCKPIT DESIGN OPTIMIZATION. (May 2020)

• Record Type: Journal Article
• Authors: Iuskevich, I.; Hein, A. M.; Amokrane-Ferka, K.; Doufene, A.; Jankovic, M.
• Is Part Of: Proceedings of the Design Society: DESIGN Conference. Volume 1(2020)
• Page Start: 2521
• Page End: 2530
• Publication Date: 2020-05
• Subjects: model-based engineering -- design optimisation -- ergonomics -- human-machine interface -- autonomous vehicle; Engineering design -- Congresses; Industrial design -- Congresses; 620.0042
• DOI: 10.1017/dsd.2020.157
• Languages: English
• ISSNs: 2633-7762

Abstract

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.