Time-Change-Fuzzy-based Intelligent Vehicle Control System for Safe Emergency Lane Transition During Driver Lethargic State

Driver’s physical condition may contribute to traffic accident when it is in a lethargic state that result in faulty maneuvers of his vehicles. Due to these possibilities, many research focuses in developing automatic speed control systems that considers the environment condition, with which relievi...

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Main Authors: Syafiq Fauzi, Kamarulzaman, Alsibai, Mohammed Hayyan
Format: Article
Language:English
Published: American Scientific Publisher 2018
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/19755/
http://umpir.ump.edu.my/id/eprint/19755/
http://umpir.ump.edu.my/id/eprint/19755/
http://umpir.ump.edu.my/id/eprint/19755/1/41.%20Time-Change-Fuzzy-based%20Intelligent%20Vehicle%20Control%20System%20for%20Safe%20Emergency%20Lane%20Transition%20During%20Driver%20Lethargic%20State1.pdf
id ump-19755
recordtype eprints
spelling ump-197552018-11-21T04:29:47Z http://umpir.ump.edu.my/id/eprint/19755/ Time-Change-Fuzzy-based Intelligent Vehicle Control System for Safe Emergency Lane Transition During Driver Lethargic State Syafiq Fauzi, Kamarulzaman Alsibai, Mohammed Hayyan QA76 Computer software TJ Mechanical engineering and machinery Driver’s physical condition may contribute to traffic accident when it is in a lethargic state that result in faulty maneuvers of his vehicles. Due to these possibilities, many research focuses in developing automatic speed control systems that considers the environment condition, with which relieving the human from the control task when the driver’s judgement is not suitable for the environmental condition. Time-change-fuzzy-sets has been proven successful in analyzing safety level in traffic condition. This paper proposes an intelligent vehicle control system based on Time-Change-Fuzzy that can safely transit a moving vehicle from its original lane towards the emergency lane automatically when the driver is in lethargic state and the effectiveness was evaluated in a series of simulation. American Scientific Publisher 2018-11 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/19755/1/41.%20Time-Change-Fuzzy-based%20Intelligent%20Vehicle%20Control%20System%20for%20Safe%20Emergency%20Lane%20Transition%20During%20Driver%20Lethargic%20State1.pdf Syafiq Fauzi, Kamarulzaman and Alsibai, Mohammed Hayyan (2018) Time-Change-Fuzzy-based Intelligent Vehicle Control System for Safe Emergency Lane Transition During Driver Lethargic State. Advanced Science Letters, 24 (10). pp. 7554-7558. ISSN 1936-6612 https://doi.org/10.1166/asl.2018.12977 doi: 10.1166/asl.2018.12977
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA76 Computer software
TJ Mechanical engineering and machinery
spellingShingle QA76 Computer software
TJ Mechanical engineering and machinery
Syafiq Fauzi, Kamarulzaman
Alsibai, Mohammed Hayyan
Time-Change-Fuzzy-based Intelligent Vehicle Control System for Safe Emergency Lane Transition During Driver Lethargic State
description Driver’s physical condition may contribute to traffic accident when it is in a lethargic state that result in faulty maneuvers of his vehicles. Due to these possibilities, many research focuses in developing automatic speed control systems that considers the environment condition, with which relieving the human from the control task when the driver’s judgement is not suitable for the environmental condition. Time-change-fuzzy-sets has been proven successful in analyzing safety level in traffic condition. This paper proposes an intelligent vehicle control system based on Time-Change-Fuzzy that can safely transit a moving vehicle from its original lane towards the emergency lane automatically when the driver is in lethargic state and the effectiveness was evaluated in a series of simulation.
format Article
author Syafiq Fauzi, Kamarulzaman
Alsibai, Mohammed Hayyan
author_facet Syafiq Fauzi, Kamarulzaman
Alsibai, Mohammed Hayyan
author_sort Syafiq Fauzi, Kamarulzaman
title Time-Change-Fuzzy-based Intelligent Vehicle Control System for Safe Emergency Lane Transition During Driver Lethargic State
title_short Time-Change-Fuzzy-based Intelligent Vehicle Control System for Safe Emergency Lane Transition During Driver Lethargic State
title_full Time-Change-Fuzzy-based Intelligent Vehicle Control System for Safe Emergency Lane Transition During Driver Lethargic State
title_fullStr Time-Change-Fuzzy-based Intelligent Vehicle Control System for Safe Emergency Lane Transition During Driver Lethargic State
title_full_unstemmed Time-Change-Fuzzy-based Intelligent Vehicle Control System for Safe Emergency Lane Transition During Driver Lethargic State
title_sort time-change-fuzzy-based intelligent vehicle control system for safe emergency lane transition during driver lethargic state
publisher American Scientific Publisher
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/19755/
http://umpir.ump.edu.my/id/eprint/19755/
http://umpir.ump.edu.my/id/eprint/19755/
http://umpir.ump.edu.my/id/eprint/19755/1/41.%20Time-Change-Fuzzy-based%20Intelligent%20Vehicle%20Control%20System%20for%20Safe%20Emergency%20Lane%20Transition%20During%20Driver%20Lethargic%20State1.pdf
first_indexed 2023-09-18T22:28:19Z
last_indexed 2023-09-18T22:28:19Z
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