AUTO CRUISE CONTROL SYSTEM USING FUZZY LOGIC
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Adaptive Cruise Control (ACC) is an advanced driver assistance technology that automatically adjusts the speed of a vehicle to maintain a safe distance from the vehicle ahead. This paper presents the design and implementation of a low‑cost adaptive cruise control system using an ultrasonic sensor andATmega16 microcontroller. The ultrasonic sensor continuously measures the distance between the prototype vehicle and obstacles in front. Based on the measured distance, the microcontroller dynamically adjusts the motor speed using PWM control to maintain safe operation. The system also implements emergency braking when the distance becomes critically small. MATLAB simulation was performed to validate the control behavior and hardware implementation was developed using a DC motor driver and LCD display for monitoring system parameters. Experimental results demonstrate that the proposed system successfully adapts vehicle speed according to obstacle distance and provides smooth acceleration and deceleration. The proposedprototype provides a simple and cost‑effective approach for implementing adaptive cruise control insmall autonomous vehicles.
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Kadu, N., Burande, R., Barange, A. & Bagde, S. (2026). Auto Cruise Control System using Fuzzy Logic. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i4.342
Kadu, Nikhil, et al.. "Auto Cruise Control System using Fuzzy Logic." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i4.342.
Kadu, Nikhil,Rohit Burande,Ayush Barange, and Shreya Bagde. "Auto Cruise Control System using Fuzzy Logic." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i4.342.
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