Investigating On-Road Lane Maintenance and Speed Regulation in Post-Stroke Driving: A Pilot Case–Control Study

Stroke can adversely affect the coordination and judgement of drivers due to executive dysfunction, which is relatively common in the post-stroke population but often undetected. Quantitatively examining vehicle control performance in post-stroke driving becomes essential to inspect whether and wher...

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Main Authors: Heng Zhou, Qian (Chayn) Sun, Alison Blane, Brett Hughes, Torbjörn Falkmer, Jianhong (Cecilia) Xia
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Geriatrics
Subjects:
Online Access:https://www.mdpi.com/2308-3417/6/1/16
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author Heng Zhou
Qian (Chayn) Sun
Alison Blane
Brett Hughes
Torbjörn Falkmer
Jianhong (Cecilia) Xia
author_facet Heng Zhou
Qian (Chayn) Sun
Alison Blane
Brett Hughes
Torbjörn Falkmer
Jianhong (Cecilia) Xia
author_sort Heng Zhou
collection DOAJ
description Stroke can adversely affect the coordination and judgement of drivers due to executive dysfunction, which is relatively common in the post-stroke population but often undetected. Quantitatively examining vehicle control performance in post-stroke driving becomes essential to inspect whether and where post-stroke older drivers are risky. To date, it is unclear as to which indicators, such as lane keeping or speed control, can differentiate the driving performance of post-stroke older drivers from that of normal (neurotypical) older drivers. By employing a case–control design using advanced vehicle movement tracking and analysis technology, this pilot study aimed to compare the variations in driving trajectory, lane keeping and speed control between the two groups of older drivers using spatial and statistical techniques. The results showed that the mean standard deviation of lane deviation (SDLD) in post-stroke participants was higher than that of normal participants in complex driving tasks (U-turn and left turn) but almost the same in simple driving tasks (straight line sections). No statistically significant differences were found in the speed control performance. The findings indicate that, although older drivers can still drive as they need to after a stroke, the decline in cognitive abilities still imposes a higher cognitive workload and more effort for post-stroke older drivers. Future studies can investigate post-stroke adults’ driving behaviour at more challenging driving scenarios or design driving intervention programs to improve their executive function in driving.
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spelling doaj.art-f6ea1cfb70ae4e4495b6552ba2b9437d2023-12-03T13:02:51ZengMDPI AGGeriatrics2308-34172021-02-01611610.3390/geriatrics6010016Investigating On-Road Lane Maintenance and Speed Regulation in Post-Stroke Driving: A Pilot Case–Control StudyHeng Zhou0Qian (Chayn) Sun1Alison Blane2Brett Hughes3Torbjörn Falkmer4Jianhong (Cecilia) Xia5School of Tourism and Geography Science, Qingdao University, Qingdao 266071, ChinaSchool of Science, RMIT University, Melbourne 3001, AustraliaSchool of Occupational Therapy and Social Work, Curtin University, Perth 6845, AustraliaDepartment of Transport, Perth 6000, AustraliaSchool of Occupational Therapy and Social Work, Curtin University, Perth 6845, AustraliaSchool of Earth and Planetary Sciences, Curtin University, Perth 6845, AustraliaStroke can adversely affect the coordination and judgement of drivers due to executive dysfunction, which is relatively common in the post-stroke population but often undetected. Quantitatively examining vehicle control performance in post-stroke driving becomes essential to inspect whether and where post-stroke older drivers are risky. To date, it is unclear as to which indicators, such as lane keeping or speed control, can differentiate the driving performance of post-stroke older drivers from that of normal (neurotypical) older drivers. By employing a case–control design using advanced vehicle movement tracking and analysis technology, this pilot study aimed to compare the variations in driving trajectory, lane keeping and speed control between the two groups of older drivers using spatial and statistical techniques. The results showed that the mean standard deviation of lane deviation (SDLD) in post-stroke participants was higher than that of normal participants in complex driving tasks (U-turn and left turn) but almost the same in simple driving tasks (straight line sections). No statistically significant differences were found in the speed control performance. The findings indicate that, although older drivers can still drive as they need to after a stroke, the decline in cognitive abilities still imposes a higher cognitive workload and more effort for post-stroke older drivers. Future studies can investigate post-stroke adults’ driving behaviour at more challenging driving scenarios or design driving intervention programs to improve their executive function in driving.https://www.mdpi.com/2308-3417/6/1/16post-stroke driversvehicle movement trajectorystandard deviation of lane deviationspeed control
spellingShingle Heng Zhou
Qian (Chayn) Sun
Alison Blane
Brett Hughes
Torbjörn Falkmer
Jianhong (Cecilia) Xia
Investigating On-Road Lane Maintenance and Speed Regulation in Post-Stroke Driving: A Pilot Case–Control Study
Geriatrics
post-stroke drivers
vehicle movement trajectory
standard deviation of lane deviation
speed control
title Investigating On-Road Lane Maintenance and Speed Regulation in Post-Stroke Driving: A Pilot Case–Control Study
title_full Investigating On-Road Lane Maintenance and Speed Regulation in Post-Stroke Driving: A Pilot Case–Control Study
title_fullStr Investigating On-Road Lane Maintenance and Speed Regulation in Post-Stroke Driving: A Pilot Case–Control Study
title_full_unstemmed Investigating On-Road Lane Maintenance and Speed Regulation in Post-Stroke Driving: A Pilot Case–Control Study
title_short Investigating On-Road Lane Maintenance and Speed Regulation in Post-Stroke Driving: A Pilot Case–Control Study
title_sort investigating on road lane maintenance and speed regulation in post stroke driving a pilot case control study
topic post-stroke drivers
vehicle movement trajectory
standard deviation of lane deviation
speed control
url https://www.mdpi.com/2308-3417/6/1/16
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