A discrete-event simulation model for driver performance assessment: application to autonomous vehicle cockpit design optimization
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 a...
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| Veröffentlicht in: | arXiv.org 2020-06 |
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| creator | Yuskevich, Ilya Hein, A Amokrane-Ferka, Kahina Doufene, Abdelkrim Jankovic, Marija |
| description | 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. |
| doi_str_mv | 10.48550/arxiv.2006.10333 |
| format | Article |
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| issn | 2331-8422 |
| language | eng |
| recordid | cdi_arxiv_primary_2006_10333 |
| source | arXiv.org; Free E- Journals |
| subjects | Cockpits Computer architecture Computer Science - Human-Computer Interaction Computer simulation Design optimization Discrete event systems Drivers Eye (anatomy) Performance assessment Situational awareness Task analysis Workload |
| title | A discrete-event simulation model for driver performance assessment: application to autonomous vehicle cockpit design optimization |
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