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dc.contributor.authorNash, C. J.
dc.contributor.authorCole, D. J.
dc.date.accessioned2022-05-08T09:04:46Z
dc.date.available2022-05-08T09:04:46Z
dc.date.copyright3/8/2022 12:00:00 AM
dc.date.issued2022
dc.identifier.issn0022-0434
dc.identifier.otherds_144_06_061002.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4284703
dc.description.abstractIn previous work, a driver model with visual and vestibular sensory dynamics was developed, identified, and validated, using data from moving-base driving simulator experiments. In this paper, the predictions, applications, and limitations of the driver model are explored through a series of simulations. The aim is to address as yet unanswered questions about the role of visual and vestibular sensory dynamics in the driver–vehicle system. The visual system is found to be the dominant sensory system, with the influence of vestibular measurements increasing with the proportion of random disturbances on the vehicle. State perception errors increase significantly with the proportion of random disturbances on the vehicle. The driver's simulated control performance is unchanged with signal amplitude above perception threshold levels, although it is slightly affected by high-pass filtering of the physical motion such as might be experienced in a driving simulator. The sensory driver model led to a significantly different optimum value of vehicle center of mass position compared to that obtained using an idealized driver model. The results motivate the adoption of sensory driver models in a vehicle design setting. Further work could be undertaken to improve the sensorimotor noise model.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleA Simulation Study of Human Sensory Dynamics and Driver–Vehicle Response
dc.typeJournal Paper
dc.journal.volume144
dc.journal.issue6
dc.journal.titleJournal of Dynamic Systems, Measurement, and Control
dc.identifier.doi10.1115/1.4053865
dc.journal.fristpage61002-1
dc.journal.lastpage61002-10
dc.page10
dc.treeJournal of Dynamic Systems, Measurement, and Control:;2022:;volume( 144 ):;issue: 006
dc.contenttypeFulltext


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