this paper presents the design of a fuzzy controller for vehicles’ anti-lock braking system (abs), aiming to prevent wheel lockup during braking and enhance vehicle control under critical conditions. wheel lockup can lead to an increased stopping distance and a loss of vehicle control, particularly on slippery road surfaces. the abs accurately controls the hydraulic pressure within the braking system to maintain the longitudinal slip between the tire and the road surface within an allowable range. in this study, an optimal fuzzy controller is designed to achieve desirable performance in the abs. the proposed controller can effectively prevent wheel lockup by adjusting the braking force on the front and rear wheels while improving braking performance under various road conditions. this research focuses on utilizing a fuzzy control system to enable rapid adaptation to different road conditions and mitigate the negative effects caused by wheel slips. simulation results demonstrate that the proposed system can deliver superior performance compared to conventional braking systems. by improving the design of the abs, this study contributes significantly to enhancing vehicle safety and reducing road accidents.