Authors

Ramesh Kumar V

Department of Computer Science & Engineering, S J M Institute of Technology, Chitradurga, India

Silambarasan T

Department of ECE, N S RAJU Institute of Technology, Visakhapatnam, A.P, India

Abstract

Adaptive cruise control is a critical technology for enhancing vehicle safety, comfort, and automation in modern transportation systems. This research presents a Raspberry Pi-Based Smart Cruise Control System, designed to provide real-time speed regulation and safe distance maintenance for autonomous and semi-autonomous vehicles. The proposed system integrates a Raspberry Pi microcontroller with sensors, including ultrasonic sensors and speed encoders, to continuously monitor the vehicle’s speed and the distance to preceding vehicles. Using a closed-loop control algorithm, the system automatically adjusts throttle and braking signals to maintain a preset safe distance while optimizing fuel efficiency and ride comfort. The system architecture is modular, with separate processing for sensor data acquisition, decision-making through control algorithms, and actuator signal generation. Real-time data processing on the Raspberry Pi ensures rapid response to dynamic traffic conditions, while software control strategies, including proportional–integral–derivative (PID) control, enhance system stability and accuracy. Experimental evaluation using a prototype vehicle demonstrates that the system can maintain safe distances under various speed profiles, detect obstacles, and respond effectively to sudden changes in traffic flow. The proposed Raspberry Pi-based implementation highlights the feasibility of using low-cost embedded platforms for intelligent vehicle control. This study contributes to the development of scalable, energy-efficient, and reliable smart cruise control systems, providing a foundation for future research in autonomous driving and intelligent transportation systems.

Keywords

Raspberry Pi Autonomous Vehicles Real-Time Vehicle Control Embedded Systems Ultrasonic Sensors PID Control Intelligent Transportation

Citation of this Article

Ramesh Kumar V, & Silambarasan T. (2025). Raspberry Pi-Based Smart Cruise Control System. Journal of Artificial Intelligence and Emerging Technologies. 2(11), 8-14. Article DOI: https://doi.org/10.47001/JAIET/2025.211002

Licence Copyright (c) 2026 Journal of Artificial Intelligence and Emerging Technologies. This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International Licence.

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