Kahtan, Hasan and Wan Nor Ashikin, Wan Ahmad Fatthi and Azma, Abdullah and Abdulgabber, Mansoor Abdullateef and Noor Aishah, Rosli (2017) Automotive anti-theft system using fuzzy logic method. In: International Conference Software Engineering & Computer Systems (ICSECS 2017) , 22-24 November 2017 , Langkawi. pp. 1-7.. (Unpublished)
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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: | Conference or Workshop Item (Lecture) |
|---|---|
| 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: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 21 Mar 2018 07:03 |
| Last Modified: | 21 Mar 2018 07:03 |
| URI: | http://umpir.ump.edu.my/id/eprint/20705 |
| Download Statistic: | View Download Statistics |
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