Issue |
E3S Web Conf.
Volume 616, 2025
2nd International Conference on Renewable Energy, Green Computing and Sustainable Development (ICREGCSD 2025)
|
|
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Article Number | 03004 | |
Number of page(s) | 12 | |
Section | Sustainable Development | |
DOI | https://doi.org/10.1051/e3sconf/202561603004 | |
Published online | 24 February 2025 |
Enhancing Road Safety at Traffic Signals Using IoT: A Smart Solution for Preventing Signal Violations and Reducing Accidents
Department of EEE, Vardhaman College of Engineering, Hyderabad, Telangana, India - 501218
* Corresponding author: murugaee@gmail.com
This work aims to enhance road safety at traffic signals by leveraging IoT technology. Traffic signal violations, such as signal jumping, are a major cause of accidents, leading to injuries and loss of life. Our proposed system focuses on minimizing these risks by introducing a smart IoT-based solution that ensures compliance with traffic rules and promotes safe driving behavior. The system utilizes IoT-enabled actuators and sensors to monitor traffic conditions and enforce signal adherence. When a signal is violated, the system automatically triggers alerts and takes necessary actions to prevent potential collisions. By effectively managing traffic flow and improving the reliability of traffic signals, this project seeks to reduce the likelihood of accidents at intersections. In addition to improving safety, the system also enhances traffic management efficiency, making roads safer for drivers and pedestrians. The integration of IoT technology ensures real-time monitoring and adaptability to dynamic traffic conditions. Overall, this project underscores the importance of modernizing traffic signal systems to protect lives and foster a safer commuting environment.
Key words: Valves / Engines / GSM / Internet of Things / Control systems / Automobiles / Global Positioning System / IOT based stopping vehicles / Internet to vehicle communication / throttle valve blocking
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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