International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Traffic Congestion Control with Automatic Signal Clearance for Emergency Vehicles

P.Sai GeethikaUG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.), Andhra Pradesh, IndiaDr.S.A.K. JilaniProfessor, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.), Andhra Pradesh, IndiaK.M.MeghamalaUG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.), Andhra Pradesh, IndiaK.RenukaUG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.), Andhra Pradesh, IndiaB.LokeshUG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.), Andhra Pradesh, IndiaB.Lakshmi SaiUG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.), Andhra Pradesh, India

Vol 9 No 3 (2025): Volume 9, Issue 3, March 2025 | Pages: 293-299

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 19-04-2025

doi Logo doi.org/10.47001/IRJIET/2025.903042

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Abstract

Emergency vehicles are often delayed by urban traffic congestion, especially at intersections, which affects their response times and safety. In this paper, the application of ultrasonic sensors, directional sensors, Raspberry Pi microcontrollers, and AI-based audio detection systems for prioritizing the flow of traffic based on vehicle density and emergency vehicle presence is widely discussed. The emergency vehicles are identified using multiple methods including RFID, directional sensors, and AI-powered siren detection algorithms. In the presented prototype, a portable smart traffic management system is built using inductive sensing elements, RFID, Raspberry Pi, and microcontrollers. The prototype of the smart traffic control system was built and tested in controlled scenarios. A comprehensive study was made and the results were thus obtained. As a result, this system will reduce traffic congestion as it operates in an optimized way, thus reducing the probability of deaths during an emergency. This system provides automatic decision-making traffic lights for determining the timing of light duration and enables smooth travel for emergency vehicles, helping them arrive at their destination quickly.

Keywords

NODE MCU, Raspberry Pi, Traffic Signalling, RFID Reader, Ultrasonic Sensors, Emergency Vehicle Prioritization, Smart Traffic Management, Directional Sensors, AI –Based Siren Detection


Citation of this Article

P.Sai Geethika, Dr.S.A.K. Jilani, K.M.Meghamala, K.Renuka, B.Lokesh, B.Lakshmi Sai. (2025). Traffic Congestion Control with Automatic Signal Clearance for Emergency Vehicles. International Research Journal of Innovations in Engineering and Technology - IRJIET, 9(3), 293-299. Article DOI https://doi.org/10.47001/IRJIET/2025.903042

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