Ageing and Driving Performance in the UK Using Normal Mixture Model Cluster Analysis Technique

This research addresses the issue of an individual's ability to drive and especially of those individuals that are questionably demented (dementia is suspected) or are in a state of very mild dementia and are therefore the most difficult to identify. A methodology has been developed for categor...

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Main Authors: Khan, M.T., Khan, R., Khan, A.
Format: Article
Published: Palacky University Olomouc 2023
Online Access:http://scholars.utp.edu.my/id/eprint/38075/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173435548&doi=10.5507%2ftots.2023.007&partnerID=40&md5=7d8020ecff20b66a11a028aa5c9e85fc
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spelling oai:scholars.utp.edu.my:380752023-12-11T02:55:42Z http://scholars.utp.edu.my/id/eprint/38075/ Ageing and Driving Performance in the UK Using Normal Mixture Model Cluster Analysis Technique Khan, M.T. Khan, R. Khan, A. This research addresses the issue of an individual's ability to drive and especially of those individuals that are questionably demented (dementia is suspected) or are in a state of very mild dementia and are therefore the most difficult to identify. A methodology has been developed for categorization of drivers by considering three driving performance indices/parameters simultaneously. This novel approach precluded the previous technique whereby only a single driving performance index (an omnibus approach without the ability to discriminate between normal driving behavior and risky driving habits primarily due to cognitive decline) is considered. Driving performance of 28 young and 28 old drivers was gauged by 24 driving performance parameters through two designed drives on driving simulator. Normal Mixture Model Cluster Analysis was used in the performance-based categorization of drivers. It was found that out of a total of 56 drivers, 8 turned out to be "poor drivers". Results from neuropsychological/cognitive tests showed on average lower cognitive performance for the "poor drivers" group. This methodology will preclude the need for measurement of driving skills through driving instructors. © 2023 The Korea Association of Teachers of English. Palacky University Olomouc 2023 Article NonPeerReviewed Khan, M.T. and Khan, R. and Khan, A. (2023) Ageing and Driving Performance in the UK Using Normal Mixture Model Cluster Analysis Technique. Transactions on Transport Sciences, 14 (2). pp. 48-53. ISSN 18029876 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173435548&doi=10.5507%2ftots.2023.007&partnerID=40&md5=7d8020ecff20b66a11a028aa5c9e85fc 10.5507/tots.2023.007 10.5507/tots.2023.007 10.5507/tots.2023.007
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description This research addresses the issue of an individual's ability to drive and especially of those individuals that are questionably demented (dementia is suspected) or are in a state of very mild dementia and are therefore the most difficult to identify. A methodology has been developed for categorization of drivers by considering three driving performance indices/parameters simultaneously. This novel approach precluded the previous technique whereby only a single driving performance index (an omnibus approach without the ability to discriminate between normal driving behavior and risky driving habits primarily due to cognitive decline) is considered. Driving performance of 28 young and 28 old drivers was gauged by 24 driving performance parameters through two designed drives on driving simulator. Normal Mixture Model Cluster Analysis was used in the performance-based categorization of drivers. It was found that out of a total of 56 drivers, 8 turned out to be "poor drivers". Results from neuropsychological/cognitive tests showed on average lower cognitive performance for the "poor drivers" group. This methodology will preclude the need for measurement of driving skills through driving instructors. © 2023 The Korea Association of Teachers of English.
format Article
author Khan, M.T.
Khan, R.
Khan, A.
spellingShingle Khan, M.T.
Khan, R.
Khan, A.
Ageing and Driving Performance in the UK Using Normal Mixture Model Cluster Analysis Technique
author_facet Khan, M.T.
Khan, R.
Khan, A.
author_sort Khan, M.T.
title Ageing and Driving Performance in the UK Using Normal Mixture Model Cluster Analysis Technique
title_short Ageing and Driving Performance in the UK Using Normal Mixture Model Cluster Analysis Technique
title_full Ageing and Driving Performance in the UK Using Normal Mixture Model Cluster Analysis Technique
title_fullStr Ageing and Driving Performance in the UK Using Normal Mixture Model Cluster Analysis Technique
title_full_unstemmed Ageing and Driving Performance in the UK Using Normal Mixture Model Cluster Analysis Technique
title_sort ageing and driving performance in the uk using normal mixture model cluster analysis technique
publisher Palacky University Olomouc
publishDate 2023
url http://scholars.utp.edu.my/id/eprint/38075/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173435548&doi=10.5507%2ftots.2023.007&partnerID=40&md5=7d8020ecff20b66a11a028aa5c9e85fc
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score 13.211869