Intelligent Development and Emulation of Vehicle Braking System Using Ultrasonic Sensor
Nowadays, automotive safety remains a vital concern, particularly in preventing collisions. To address the limitations of traditional braking systems, we propose a novel Smart Braking System (SBS) that controls ultrasonic sensors and an Arduino-based Micro Controller Unit (MCU). This system autonomously detects obstacles and initiates braking responses without driver intervention, offering an affordable and reliable safety solution. The ultrasonic sensor continuously measures the distance between the moving vehicle and various obstacles, including materials such as plastic, wood, paper, or cloth, and relays this data to the MCU. Based on the pre-programmed logic within the Node MCU, the system automatically adjusts the vehicle’s speed or triggers emergency braking when an object falls within a critical safety range. Designed for high efficiency and reliability, the SBS dynamically responds to real-time distance measurements, reducing the risks and severity of accidents. By executing emergency braking commands precisely when needed, the system mitigates collision damage more effectively than existing automatic collision-avoidance solutions. During prototype testing, the proposed system demonstrated superior performance, revealing and addressing vulnerabilities present in other methods. Overall, the SBS provides a practical, cost-effective, and highly responsive solution to enhance vehicle safety, particularly in scenarios that require rapid obstacle detection and emergency response.
Authors
- R. Sarojini
- A. Adaikalam (ORCID: https://orcid.org/0000-0002-7745-5332)
- K. Rajeswari
- B. Thilakavathi
- N. Senthilnathan (ORCID: https://orcid.org/0009-0003-2650-2949)
- S. Kulasekarapandian
Institutions
- National Institute of Technology Tiruchirappalli (IN)
- Government of Tamil Nadu (IN)
- Rajalakshmi Engineering College
Publication Details
- Journal
- International Journal of Basic and Applied Sciences
- Published
- 2025-10-09
- DOI
- https://doi.org/10.14419/yf99bq45
- Primary Topic
- Engineering Applied Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Anna University