An Enhanced ABS Braking Control System with Autonomous Vehicle Stopping

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.

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Publication Details

Journal
World Electric Vehicle Journal
Published
2025-07-16
DOI
https://doi.org/10.3390/wevj16070400
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

An Enhanced ABS Braking Control System with Autonomous Vehicle Stopping

Gehad Ali Abdulrahman Qasem, Mazen Farid, Mohammed Abdullah
World Electric Vehicle Journal
Vehicle Dynamics and Control Systems
article

An Enhanced ABS Braking Control System with Autonomous Vehicle Stopping

Gehad Ali Abdulrahman Qasem, Mazen Farid, Mohammed Abdullah
article en

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.

World Electric Vehicle JournalVol. 16(7)
University of Science and Technology (YE), Multimedia University (MY), Cloud Computing Center (CN), University of Aden (YE)
Multimedia University
Openalex Percentile: Top 82%
Vehicle Dynamics and Control Systems
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An Enhanced ABS Braking Control System with Autonomous Vehicle Stopping — Gehad Ali Abdulrahman Qasem, Mazen Farid, et al. · World Electric Vehicle Journal (2025) | TGRS Research Map | TGRS