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2018 | OriginalPaper | Chapter

Development of Ergonomic Vehicle Model and Decision Support System for Driving Fatigue

Authors : Mohammad Firdaus Ani, Seri Rahayu Kamat, Minoru Fukumi, Momoyo Ito, Mohamad Minhat, Nur Syafiqah Rayme

Published in: Intelligent Manufacturing & Mechatronics

Publisher: Springer Singapore

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Abstract

Driving fatigue has been recognized as one of the significant contributory factors to the road accidents and fatalities in Malaysia. The aim of this study was to develop an ergonomic vehicle model (EVM) and decision support system (DSSfDF) model for improving the driving fatigue problem among the road users. The ergonomic vehicle model uses to capture the user information data and acts as the database storage to store all the input data and information. While the decision support system provides a systematic analysis and solution to minimize the risk and the number of accidents associated with driving fatigue. There are 6 main components as the pillars for the development of EVM and DSSfDF model; ergonomics evaluation tools, graphical user interface (GUI), ergonomics database, working memory, inference engine, and knowledge base. Both models are essential system and reliable advisory tool for providing analysis on risk factors that contribute significantly to driving fatigue and providing solutions and recommendation to the problem related to driving fatigue. Further analysis and validation are required in future to get the reliable system before being commercialized.

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Title: Development of Ergonomic Vehicle Model and Decision Support System for Driving Fatigue
Authors: Mohammad Firdaus Ani
Seri Rahayu Kamat
Minoru Fukumi
Momoyo Ito
Mohamad Minhat
Nur Syafiqah Rayme
Publisher: Springer Singapore
Book: Intelligent Manufacturing & Mechatronics
Print ISBN: 978-981-10-8787-5

Electronic ISBN: 978-981-10-8788-2

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-981-10-8788-2_31

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