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    Driving manoeuvre during lane maintenance in older adults: Associations with neuropsychological scores

    Access Status
    Fulltext not available
    Authors
    Sun, Qian (Chayn)
    Xia, Jianhong (Cecilia)
    Foster, Jonathan
    Falkmer, Torbjorn
    Lee, Hoe
    Date
    2018
    Type
    Journal Article
    
    Metadata
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    Citation
    Sun, Q. and Xia, J. and Foster, J. and Falkmer, T. and Lee, H. 2018. Driving manoeuvre during lane maintenance in older adults: Associations with neuropsychological scores. Transportation Research Part F: Traffic Psychology and Behaviour. 53: pp. 117-129.
    Source Title
    Transportation Research Part F: Traffic Psychology and Behaviour
    DOI
    10.1016/j.trf.2017.12.016
    ISSN
    1369-8478
    School
    School of Earth and Planetary Sciences (EPS)
    URI
    http://hdl.handle.net/20.500.11937/65467
    Collection
    • Curtin Research Publications
    Abstract

    © 2018 Elsevier Ltd. 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 i n 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.

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