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

Ani, Mohammad Firdaus and Kamat, Seri Rahayu and Fukumi, Minoru and Minhat, Mohamad (2018) Development of driving fatigue strain index for reducing accident risk among drivers / Mohammad Firdaus Ani ...[et al.]. Journal of Electrical and Electronic Systems Research (JEESR), 12: 5. pp. 30-36. ISSN 1985-5389

Abstract

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.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Ani, Mohammad Firdaus
mohammad.firdaus.ani@gmail.com
Kamat, Seri Rahayu
UNSPECIFIED
Fukumi, Minoru
UNSPECIFIED
Minhat, Mohamad
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Expert systems (Computer science). Fuzzy expert systems
Divisions: Universiti Teknologi MARA, Shah Alam
Journal or Publication Title: Journal of Electrical and Electronic Systems Research (JEESR)
UiTM Journal Collections: UiTM Journal > Journal of Electrical and Electronic Systems Research (JEESR)
ISSN: 1985-5389
Volume: 12
Page Range: pp. 30-36
Keywords: Decision support system, Fatigue, Hand grip force, Heart rate, Seat pressure, strain index, Whole-body vibration
Date: June 2018
URI: https://ir.uitm.edu.my/id/eprint/63042
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