Automatic Vehicle Speed Control System

Abstract

The review paper focuses on the development and implementation of an Automatic Vehicle Speed Control System designed to enhance road safety and reduce accidents caused by over-speeding. The primary purpose of the study is to investigate existing methodologies for speed control and propose an automated system that integrates advanced technologies to address the limitations of traditional speed management techniques. The paper adopts a comprehensive review methodology, analyzing previous research on speed control systems, including sensor-based technologies, GPS integration, and IoT applications Various models, algorithms, and frameworks used in real-time speed monitoring and vehicle control are critically evaluated.

Introduction

Road safety is a major global issue, with speeding as a key cause of accidents. Traditional speed control methods are often ineffective, leading to the development of Automatic Vehicle Speed Control Systems (AVSCS) that use modern technologies like sensors, GPS, IoT, and AI to monitor and regulate vehicle speed in real-time. These systems aim to reduce accidents, improve traffic flow, and support sustainable transportation, aligning with smart city initiatives.

The literature review highlights several technologies: Intelligent Speed Adaptation (ISA), GPS/IoT integration, RFID-based systems, AI and machine learning for predictive speed control, Adaptive Cruise Control (ACC), and government regulations, all showing varying degrees of effectiveness in reducing speeding and accidents.

The methodology involves collecting data from various sensors (speed, proximity, radar, cameras), processing it through a control unit, and automatically adjusting throttle and brakes. Features like emergency braking, adaptive cruise control, road condition detection, and vehicle-to-vehicle communication further enhance safety.

The technology section details the specific sensors and components (throttle position, fuel sensors, oxygen sensor, etc.) essential for precise control of vehicle speed and engine performance.

Applications include emergency response, urban zones (schools, hospitals), smart traffic management, highway safety, eco-friendly driving, autonomous vehicles, law enforcement, industrial zones, railway crossings, and wildlife protection.

Challenges include dependency on advanced infrastructure, algorithmic limitations, privacy concerns, high costs, interoperability, legal and regulatory hurdles, public acceptance issues, maintenance demands, weather impacts, and ethical dilemmas in automated decision-making.

Conclusion

The Automatic Vehicle Speed Control System is a transformative technology that enhances road safety, reduces human error, and promotes sustainable transportation. By leveraging advanced sensors, AI algorithms, and IoT-based communication, these systems offer significant improvements over traditional speed control mechanisms. Future research should focus on optimizing system algorithms, improving infrastructure compatibility, and addressing privacy concerns to enable global scalability and adaptability. The Automatic Vehicle Speed Control System represents a transformative leap in modern transportation technology. By integrating cutting-edge sensors, artificial intelligence (AI), and Internet of Things (IoT) connectivity, this innovation significantly enhances road safety by mitigating human errors and promoting responsible driving practices. Unlike traditional speed control mechanisms, these systems operate dynamically, responding to real-time environmental conditions.

References

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Copyright

Copyright © 2025 Nitin Thakare, Nihal Kamble, Amber Agey, Ravindra Bawankule, Prajwal Mendhe , Shilpa Chindamwar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.