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Driving manoeuvre during lane maintenance in older adults: Associations with neuropsychological scores
School of Global, Urban and Social Studies, RMIT University, Australia.
Department of Spatial Sciences, Curtin University, Australia.
School of Psychology and Speech Pathology, Curtin University, Australia.
Jönköping University, School of Health and Welfare, HHJ. CHILD. School of Occupational Therapy and Social Work, Curtin University, Australia.ORCID iD: 0000-0002-0756-6862
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2018 (English)In: Transportation Research Part F: Traffic Psychology and Behaviour, ISSN 1369-8478, E-ISSN 1873-5517, Vol. 53, p. 117-129Article in journal (Refereed) Published
Abstract [en]

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. 

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 53, p. 117-129
Keywords [en]
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
National Category
Neurology
Identifiers
URN: urn:nbn:se:hj:diva-42314DOI: 10.1016/j.trf.2017.12.016ISI: 000425565500011Scopus ID: 2-s2.0-85041296662Local ID: HHJCHILDISOAI: oai:DiVA.org:hj-42314DiVA, id: diva2:1271205
Available from: 2018-12-17 Created: 2018-12-17 Last updated: 2018-12-17Bibliographically approved

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Falkmer, Torbjörn

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