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The latest advances in the design of vehicles with the adaptive level ofautomation pose new challenges in the vehicle-driver interaction. Safetyrequirements underline the need to explore optimal cockpit architectures withregard to driver cognitive and perceptual workload, eyes-off-the-road time andsituation awareness. We propose to integrate existing task analysis approachesinto system architecture evaluation for the early-stage design optimization. Webuilt the discrete-event simulation tool and applied it within themulti-sensory (sight, sound, touch) cockpit design industrial project.

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