This design presents an innovative Vehicle-to-Vehicle (V2V) communication system utilizing Li-Fi technology to enhance road safety through real-time driving behavior monitoring and alert mechanisms. Each vehicle unit is equipped with an ESP32 microcontroller as the central controller, which gathers data from various sensors including an alcohol sensor to detect drunken driving, an MPU6050 sensor to monitor rash driving behavior through acceleration and orientation analysis, and an SOS button for emergency alerting. An I2C-based LCD display is used in each vehicle to show real-time parameter values for the driver. The system also includes an APR voice module to provide audible alerts to the driver, improving the response time in critical situations. To support safety in congested environments, the system uses ultrasonic sensors to detect nearby vehicles and reduce collision risks. Li-Fi, a high-speed, light-based data transmission method, is used for direct communication between vehicles, enabling quick sharing of alerts such as emergency situations or erratic driving behavior. When an abnormal condition like high alcohol level or sudden movements is detected, the system sends a warning to nearby vehicles through Li-Fi, triggering visual and voice alerts. This smart integration of IoT components creates a responsive, interconnected V2V system aimed at reducing road accidents and improving driver awareness, especially in critical driving conditions.

This work successfully demonstrates the implementation of a smart Vehicle-to Vehicle (V2V) communication system using Li-Fi technology to enhance road safety and driver awareness. By integrating critical sensors such as the alcohol sensor, MPU6050, ultrasonic sensor, and an SOS emergency button, the system is capable of detecting hazardous conditions like drunk driving, rash driving, vehicle proximity, and emergency alerts in real-time. The use of Li-Fi enables fast, secure, and interference-free communication between vehicles, ensuring that vital safety information is transmitted without delay. The core controller, ESP32, effectively manages sensor data, displays it on an I2C LCD, and handles data transmission through Li-Fi modules. The system not only improves situational awareness for drivers but also provides a low-cost and scalable alternative to conventional RF-based communication systems. Overall, this solution contributes significantly to the advancement of intelligent transport systems by promoting safer driving habits and enabling real-time inter-vehicular alerts, thereby reducing the risk of road accidents and enhancing on-road decision making.

1. IEEE Standard 802.11bb (2023). Standard for Light-Based Wireless Networking. IEEE Communications Society. 2. Imran, M. T., Shams, S. M., & Ahmed, N. (2023). Design and Assessment of a Li-Fi Based Home Automation System: An Alternative to Wi-Fi and Bluetooth Communication System. 3. Al-Hamiri, M. G., & Nasar, H. J. A. (2023). A Review of LiFi Technology: Principles and Applications. In Proceedings of the 2023 Second International Conference on Advanced Computer Applications (ACA). 4. Gupta, P., & Mishra, S. (2023). Illuminating Insights: A Comprehensive Review of Li-Fi Technology and Its Diverse Applications. 5. Patel, N., & Sharma, S. (2023). Smart Home Automation Using Li-Fi Technology: A Novel Approach. International Journal of Electronics and Communication Engineering, 7(5), 256–262. Link 6. Dhanasekaran, D., Aashiq, R., Prasanth, R. M. L., & Muniyappan, R. (2023). An Application of Li-Fi Based Wireless Communication System Using Visible Light Communication. 7. Shanthi, T., Shalini, P., & Hameed, S. S. (2023). Communication Between Submarines Using Li-Fi Technology. International Journal of Scientific Research in Engineering and Management (IJSREM), 7(11), 45–50. 8. Pallavi, K., Padmaja, C., & Ashish, P. S. (2023). Image Transmission in Underwater Through Li-Fi. In Proceedings of the International Conference on Advanced Communication Technologies and Networking (ICACTN). 9. Tuhin, S. I., Rahi, S. M., Maruf, I. H., Khanom, S., & Siddika, A. (2024). Optical Conveyance of Audio Signals: Pioneering Li-Fi Technology for High Fidelity Data Transmission. 10. Stilinki, D., & Mohamed, S. (2024). Li-Fi Technology and Integration with 5G/6G Networks. EasyChair Preprint 14097.

© 2025 International Journal of Engineering and Techniques (IJET).

Digital Object Identifier (DOI)

IJET assigns a unique DOI to every accepted article via Zenodo for persistent linking and citation. Your article’s DOI: https://doi.org/{{doi}}

Open DOI About Zenodo DOI

Close