Kahtan, Hasan and Wan Nor Ashikin, Wan Ahmad Fatthi and Azma, Abdullah and Mansoor, Abdulletee and Noor Aishah, Rosli (2018) Application of Fuzzy Logic Controller for Safe Braking System: An Anti-Theft Tracking. Advanced Science Letters, 24 (10). pp. 7317-7321. ISSN 1936-6612. (Published)
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Abstract
Automotive security has become more challenging with the increasing of sophisticated modern technologies nowadays. While the transformation of automotive has brought major advancement in efficiency, it also led to the possibility of new threats in automotive field such as vehicle theft. In Malaysia, an average of sixty vehicles get stolen every day. Numbers of vehicle’s security and safety devices or system has been marketed such as safety alarms, door jammer, gearshift lock and global positioning system (GPS) tracker. However, there are also few limitations of these devices such as easily disable, notify false alarm and requires strong cellular network for continuous tracking. This paper describes the preliminary research and application of fuzzy logic based controller for braking system of stolen vehicle. In our future study, this system will be incorporated in the anti-theft tracking device with smartphone integration. In this study, two input parameters are considered which are the vehicle velocity and the sight distance. The proposed system will assist the user or vehicle owner to decide for safe braking control. Thus, reduce the risk of property loss or life loss.
| Item Type: | Article |
|---|---|
| Additional Information: | JCR® Category: Multidisciplinary Sciences. Quartile: Q2 |
| Uncontrolled Keywords: | Automotive Security; Anti-Theft System; Fuzzy Logic Controller; Braking System; Computational Intelligence |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Pn. Hazlinda Abd Rahman |
| Date Deposited: | 22 Mar 2018 06:11 |
| Last Modified: | 09 Nov 2018 02:32 |
| URI: | http://umpir.ump.edu.my/id/eprint/19600 |
| Download Statistic: | View Download Statistics |
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