Citation
Abdullah, Mohammed Fadhl and Qasem, Gehad Ali and Farid, Mazen (2025) An Enhanced ABS Braking Control System with Autonomous Vehicle Stopping. World Electric Vehicle Journal, 16 (7). p. 400. ISSN 2032-6653![]() |
Text
wevj-16-00400.pdf - Published Version Restricted to Repository staff only Download (17MB) |
Abstract
This study explores the design and implementation of a control system integrating the anti-lock braking system (ABS) with frequency-modulated continuous wave (FMCW) radar technology to enhance safety and performance in autonomous vehicles. The proposed system employs a hybrid fuzzy logic controller (FLC) and proportional-integral-derivative (PID) controller to improve braking efficiency and vehicle stability under diverse driving conditions. Simulation results showed significant enhancements in stopping performance across various road conditions. The integrated system exhibited a marked improvement in braking performance, achieving significantly shorter stopping distances across all evaluated surface conditions—including dry concrete, wet asphalt, snowy roads, and icy roads—compared with scenarios without ABS. These results highlight the system’s ability to dynamically adapt braking forces to different conditions, significantly improving safety and stability for autonomous vehicles. The limitations are acknowledged, and directions for real-world validation are outlined to ensure system robustness under diverse environmental conditions.
Item Type: | Article |
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Uncontrolled Keywords: | Anti-lock braking system (ABS), frequency-modulated continuous wave (FMCW), fuzzy logic controller, proportional-integral-derivative controller |
Subjects: | T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL1-484 Motor vehicles. Cycles |
Divisions: | Faculty of Information Science and Technology (FIST) |
Depositing User: | Ms Suzilawati Abu Samah |
Date Deposited: | 27 Aug 2025 03:06 |
Last Modified: | 03 Sep 2025 07:20 |
URII: | http://shdl.mmu.edu.my/id/eprint/14416 |
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