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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| Format: | Article |
| Language: | English |
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American Scientific Publisher
2018
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| Online Access: | 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 |
| _version_ | 1848820955085799424 |
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| author | Syafiq Fauzi, Kamarulzaman Alsibai, Mohammed Hayyan |
| author_facet | Syafiq Fauzi, Kamarulzaman Alsibai, Mohammed Hayyan |
| author_sort | Syafiq Fauzi, Kamarulzaman |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T02:17:40Z |
| format | Article |
| id | ump-19755 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:17:40Z |
| publishDate | 2018 |
| publisher | American Scientific Publisher |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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. (Published) https://doi.org/10.1166/asl.2018.12977 doi: 10.1166/asl.2018.12977 |
| 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 |
| title | 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_short | 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 |
| topic | QA76 Computer software TJ Mechanical engineering and machinery |
| 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 |