International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | An Intelligent Traffic Light Controlling System for Emergency Vehicle Using RFID |
|---|---|
| ABSTRACT | The increasing level of traffic congestion in urban areas has become a major challenge, especially for emergency vehicles such as ambulances, fire engines, and police vehicles. Delays caused by heavy traffic can lead to serious consequences, including loss of human lives. To overcome this problem, this project proposes an intelligent traffic light control system using Radio Frequency Identification (RFID) technology to provide priority to emergency vehicles. In this system, each emergency vehicle is equipped with a unique RFID tag, and RFID readers are installed at traffic signal junctions. When an emergency vehicle approaches the intersection, the RFID reader detects the presence of the tag and sends a signal to the microcontroller. Based on this input, the traffic control system automatically changes the signal to green for the lane in which the emergency vehicle is traveling, while all other directions are set to red. This allows the emergency vehicle to pass through the junction quickly and safely without being delayed by traffic congestion. Once the emergency vehicle has crossed the signal, the system resets the traffic lights to their normal sequence. The proposed system operates automatically without the need for manual intervention, ensuring efficiency and reliability. It helps in reducing waiting time, improving traffic flow, and enhancing the response time of emergency services. This project demonstrates a cost-effective and practical solution for modern traffic management systems and can be further expanded by integrating with advanced technologies such as GPS and smart city infrastructure. Overall, the system contributes to safer and more efficient road transportation. |
| AUTHOR | K. JAYANTHI, KARTHIKA.M, MOHANA.K, AGALYA.A Assistant Professor, Dept. of ECE., Mahendra College of Engineering, Salem, Tamil Nadu, India UG Student, Dept. of ECE., Mahendra College of Engineering, Salem, Tamil Nadu, India |
| VOLUME | 183 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1404102 |
| pdf/102_An Intelligent Traffic Light Controlling System for Emergency Vehicle Using RFID.pdf | |
| KEYWORDS | |
| References | [1] K. P. Laberteaux and J. J. Haas, “Vehicular communication systems for traffic management,” IEEE Commun. Mag., vol. 49, no. 5, pp. 28–35, May 2011, doi: 10.1109/MCOM.2011.5762801. [2] S. A. Hussain et al., “RFID-based vehicle identification system,” Int. J. Eng. Res., 2013. [3] M. A. Jabbar et al., “Smart traffic management system using sensors,” in Proc. IEEE Conf. Intell. Syst., 2015. [4] P. S. Naik et al., “Emergency vehicle priority system using RFID,” Int. J. Adv. Res., 2017. [5] P. S. Naik et al., “RFID-based smart traffic control framework,” in Proc. Int. Conf. Smart Technol., 2018. [6] R. S. Desai et al., “Review of traffic control techniques for emergency vehicles,” Int. J. Comput. Appl., 2019. [7] A. K. Sharma et al., “IoT-based traffic management system using RFID,” IEEE Access, 2020. [8] S. K. Patel et al., “Real-time traffic signal control system,” Int. J. Eng. Technol., 2021. [9] K. R. Kalpana et al., “RFID-based traffic monitoring system,” Int. J. Sci. Res., 2022. [10] V. K. Singh et al., “Adaptive traffic signal system using RFID and Arduino,” Int. J. Innov. Res., 2023. [11] “RFID technology for intelligent traffic systems,” IEEE Xplore Digit. Library, 2021. [12] S. Meera, R. Rasika, V. Kowsalya, and P. Kanimozhi, “A Unified Biometric Voter Verification and Authentication E-Voting System Through CNN,” International Journal of Innovative Research in Technology (IJIRT), vol. 10, pp. 1187–1190, 2024. [13] J. Sampathkumar and N. Malmurugan, “HELP-WSN: A Novel Adaptive Multi-Tier Hybrid Intelligent Framework for QoS Aware WSN-IoT Networks,” Computers, Materials & Continua, vol. 71, no. 2, pp. 2107–2123, 2022. |
