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

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.

Country : India

1 P.Sai Geethika2 Dr.S.A.K. Jilani3 K.M.Meghamala4 K.Renuka5 B.Lokesh6 B.Lakshmi Sai

  1. UG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.), Andhra Pradesh, India
  2. Professor, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.), Andhra Pradesh, India
  3. UG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.), Andhra Pradesh, India
  4. UG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.), Andhra Pradesh, India
  5. UG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.), Andhra Pradesh, India
  6. UG Student, Dept. of E.C.E., Gates Institute of Technology, Gooty, Anantapur (Dist.), Andhra Pradesh, India

IRJIET, Volume 9, Issue 3, March 2025 pp. 293-299

doi.org/10.47001/IRJIET/2025.903042

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