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. (Published)
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41. Time-Change-Fuzzy-based Intelligent Vehicle Control System for Safe Emergency Lane Transition During Driver Lethargic State1.pdf Download (23kB) | Preview |
Abstract
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.
| Item Type: | Article |
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| Additional Information: | JCR® Category: Multidisciplinary Sciences. Quartile: Q2 |
| Uncontrolled Keywords: | Computational Intelligence; Fuzzy; Intelligent Control; Autonomous Vehicle |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software T Technology > TJ Mechanical engineering and machinery |
| Faculty/Division: | Faculty of Computer System And Software Engineering Faculty of Engineering Technology |
| Depositing User: | Pn. Hazlinda Abd Rahman |
| Date Deposited: | 19 Feb 2018 04:05 |
| Last Modified: | 21 Nov 2018 04:29 |
| URI: | http://umpir.ump.edu.my/id/eprint/19755 |
| Download Statistic: | View Download Statistics |
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