Authors : Nishid Khode; Sayali Samleti; Pratiksha Shelke; Rutuja Raut

Volume/Issue : Volume 11 - 2026, Issue 6 - June

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Google Scholar : https://tinyurl.com/uz99fs25

Scribd : https://tinyurl.com/y8ds4j76

DOI : https://doi.org/10.38124/ijisrt/26jun1085

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

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Abstract : India’s rapidly growing vehicle population has increased urban traffic congestion, causing critical delays for emergency vehicles like ambulances and fire engines, that need timely mobilization to save lives and minimize damage. This paper proposes a smart signal system using Arduino and RFID technology, which detects approaching emergency vehicles at traffic signals and then will override normal signal operations temporarily to give a clear path. An Arduino-based prototype with indicator simulations that will demonstrate real-time traffic conditions and signal control, and the experimental results show the system reduces delays and provides uninterrupted path to emergency vehicles during peak hours.

Keywords : Smart Signal System, RFID, Traffic Signal Control, Intelligent Traffic System, Urban Traffic Management, Congestion Reduction, Smart Cities.

References :

1. P. Chitra, J. Rajeswari, M. Saminathan, K. Vishnu, N. Vishva, and R. Ratheesh, “An Intelligent Traffic Signal System for Ambulance Priority Using Internet of Things,” Journal of Chemical Health Risks, vol. 14, no. 2, pp. 2082–2085, Mar. 2024.
2. S. S. B. Sangamesh, S. D. H. Sanjay, M. S. Meghana, and M. N. Thippeswamy, "Advanced Traffic Signal Control System for Emergency Vehicles," International Journal of Recent Technology and Engineering (IJRTE), vol. 8, no. 3, pp. 1242–1245, Sep. 2019, doi: 10.35940/ijrte.C4323.098319.
3. S. T. Shirkande, A. P. Barve, H. N. Bondar, S. B. Gore, and S. S. Rupanawar, “Ambulance Detection and Traffic Flow Control System,” International Journal of Scientific Research in Science and Technology (IJSRST), vol. 11, no. 7, pp. 09–17, May–Jun. 2024.
4. S. H. M. Sudhakara, H. R. Girish, N. R. Kumara Swamy, J. V. Kumar, and M. S. Kumar, “A Review: Smart Ambulance and Traffic Controlling System,” in Proc. Int. Conf. on Emerging Trends in Engineering and Technology, AIET, Mangalore, India, 2023.
5. Abhay K, A. Sreenath, A. B. Ramkumar, A. R. Rao, and N. V. V. Prabhanjan, "Research on Ambulance Congestion Based on Machine Learning and Real-Time Adaptive Methods," International Journal of Creative Research Thoughts (IJCRT), vol. 13, no. 1, Jan. 2025, pp. 941–956, ISSN: 2320-2882.