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Driving manoeuvre d...
Driving manoeuvre during lane maintenance in older adults : Associations with neuropsychological scores
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- Sun, Qian C. (författare)
- School of Global, Urban and Social Studies, RMIT University, Australia
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- Xia, Jianhong C. (författare)
- Department of Spatial Sciences, Curtin University, Australia
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- Foster, Jonathan (författare)
- School of Psychology and Speech Pathology, Curtin University, Australia
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- Falkmer, Torbjörn, 1958- (författare)
- Jönköping University,HHJ. CHILD,School of Occupational Therapy and Social Work, Curtin University, Australia
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- Lee, Hoe (författare)
- School of Occupational Therapy and Social Work, Curtin University, Australia
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(creator_code:org_t)
- Elsevier, 2018
- 2018
- Engelska.
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Ingår i: Transportation Research Part F. - : Elsevier. - 1369-8478 .- 1873-5517. ; 53, s. 117-129
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Older drivers experience difficulties in lane maintenance under challenging driving sections due to age-related cognitive declines, yet there is little comprehensive evidence on associations between cognitive functions and the lane maintenance in this population. In this study, fifty older drivers completed an on-road driving assessment and a battery of standard neuropsychological tests. Mean Lane Position (MLP), Standard Deviation of Lane Position (SDLP) and manoeuvre time calculated from precise vehicle movement trajectories were used as the lane maintenance parameters. The GNSS tracking vehicle movement presents comprehensive and reliable vehicle position data, which is more sensitive for detecting subtle variations of lane maintenance in older drivers. Statistical analysis results show that lower visual attention (selective and divided attention) was associated with higher MLP and SDLP; MLP was also correlated to spatial abilities, executive function, and motor speed; manoeuvre time was negatively correlated with drivers’ risk-taking personality (all p <.01). Selective attention was found to be the best predictor of MLP in lane maintenance. A combined eight variables from three neuropsychological tests, UFOV 2 and 3, BD and BJLO, D-KEFS TMT 1, 2, 3, and 4, correctly classified 80.4% of participants with good versus low-performing lane maintenance.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Neurologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Neurology (hsv//eng)
Nyckelord
- Cognitive abilities
- GNSS tracking
- Lane maintenance
- Neuropsychological tests
- Older drivers
- Behavioral research
- Global positioning system
- Risk assessment
- Risk management
- Vehicles
- Cognitive ability
- Cognitive functions
- Executive function
- Maintenance parameters
- Selective attention
- Standard deviation
- Maintenance
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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