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Development of driving fatigue strain index for reducing accident risk among drivers / Mohammad Firdaus Ani ...[et al.]

Driving has become more important as this medium being practically, faster and cheaper in connecting human from one to other places. However, in some occurrences driving activity can cause disaster or death to human in daily life as they get fatigued while driving. Driving fatigue is one of the...

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Main Authors: Ani, Mohammad Firdaus, Kamat, Seri Rahayu, Fukumi, Minoru, Minhat, Mohamad
Format: Article
Language:English
Published: UiTM Press 2018
Subjects:
Expert systems (Computer science). Fuzzy expert systems
Online Access:https://ir.uitm.edu.my/id/eprint/63042/1/63042.pdf
https://ir.uitm.edu.my/id/eprint/63042/
https://jeesr.uitm.edu.my/v1/
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spelling my.uitm.ir.630422022-06-29T02:41:31Z https://ir.uitm.edu.my/id/eprint/63042/ Development of driving fatigue strain index for reducing accident risk among drivers / Mohammad Firdaus Ani ...[et al.] Ani, Mohammad Firdaus Kamat, Seri Rahayu Fukumi, Minoru Minhat, Mohamad Expert systems (Computer science). Fuzzy expert systems Driving has become more important as this medium being practically, faster and cheaper in connecting human from one to other places. However, in some occurrences driving activity can cause disaster or death to human in daily life as they get fatigued while driving. Driving fatigue is one of the top contributor to the road crashes. Therefore this study is to develop a driving fatigue strain index (DFSI), collaborate with Decision Support System (DSS), to quantify the risk levels caused by driving activity, and to propose an appropriate solution in minimizing the number of road accidents caused by the driving fatigue. The decision support system provide fast and systematic analysis, and solutions to minimize the risk and the number of accidents associated with driving fatigue. The development of DFSI is based on risk factors associated with driving activity such as muscle activity, heart rate, hand grip force, seat pressure distribution, whole-body vibration, and driving duration. All risk factors are assigned with multipliers, and the DFSI is the output or result of those multipliers. The development of DFSI is essential to analyze the risk factors that would contribute significantly to discomfort and fatigue associated with driving. Besides, in the future this index will have a capability to recommend alternative solutions to minimize fatigue while driving. UiTM Press 2018-06 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/63042/1/63042.pdf Development of driving fatigue strain index for reducing accident risk among drivers / Mohammad Firdaus Ani ...[et al.]. (2018) Journal of Electrical and Electronic Systems Research (JEESR), 12: 5. pp. 30-36. ISSN 1985-5389 https://jeesr.uitm.edu.my/v1/
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Expert systems (Computer science). Fuzzy expert systems
spellingShingle Expert systems (Computer science). Fuzzy expert systems
Ani, Mohammad Firdaus
Kamat, Seri Rahayu
Fukumi, Minoru
Minhat, Mohamad
Development of driving fatigue strain index for reducing accident risk among drivers / Mohammad Firdaus Ani ...[et al.]
description Driving has become more important as this medium being practically, faster and cheaper in connecting human from one to other places. However, in some occurrences driving activity can cause disaster or death to human in daily life as they get fatigued while driving. Driving fatigue is one of the top contributor to the road crashes. Therefore this study is to develop a driving fatigue strain index (DFSI), collaborate with Decision Support System (DSS), to quantify the risk levels caused by driving activity, and to propose an appropriate solution in minimizing the number of road accidents caused by the driving fatigue. The decision support system provide fast and systematic analysis, and solutions to minimize the risk and the number of accidents associated with driving fatigue. The development of DFSI is based on risk factors associated with driving activity such as muscle activity, heart rate, hand grip force, seat pressure distribution, whole-body vibration, and driving duration. All risk factors are assigned with multipliers, and the DFSI is the output or result of those multipliers. The development of DFSI is essential to analyze the risk factors that would contribute significantly to discomfort and fatigue associated with driving. Besides, in the future this index will have a capability to recommend alternative solutions to minimize fatigue while driving.
format Article
author Ani, Mohammad Firdaus
Kamat, Seri Rahayu
Fukumi, Minoru
Minhat, Mohamad
author_facet Ani, Mohammad Firdaus
Kamat, Seri Rahayu
Fukumi, Minoru
Minhat, Mohamad
author_sort Ani, Mohammad Firdaus
title Development of driving fatigue strain index for reducing accident risk among drivers / Mohammad Firdaus Ani ...[et al.]
title_short Development of driving fatigue strain index for reducing accident risk among drivers / Mohammad Firdaus Ani ...[et al.]
title_full Development of driving fatigue strain index for reducing accident risk among drivers / Mohammad Firdaus Ani ...[et al.]
title_fullStr Development of driving fatigue strain index for reducing accident risk among drivers / Mohammad Firdaus Ani ...[et al.]
title_full_unstemmed Development of driving fatigue strain index for reducing accident risk among drivers / Mohammad Firdaus Ani ...[et al.]
title_sort development of driving fatigue strain index for reducing accident risk among drivers / mohammad firdaus ani ...[et al.]
publisher UiTM Press
publishDate 2018
url https://ir.uitm.edu.my/id/eprint/63042/1/63042.pdf
https://ir.uitm.edu.my/id/eprint/63042/
https://jeesr.uitm.edu.my/v1/
_version_ 1738513999810527232
score 13.211869

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