International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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smart traffic signal optimization using AI

Author(s) Ms. Densheela A, Prof. Angelin Rosy M, Dr. Felix Xavier Muthu M
Country India
Abstract Traffic congestion is becoming a major issue in many cities due to the rapid increase in the number of vehicles. Most of the existing traffic signal systems follow fixed time intervals, which do not change based on actual road conditions. Because of this, vehicles often wait unnecessarily even when there is less traffic on other roads.
In this project, an intelligent traffic signal system is developed using Artificial Intelligence to manage traffic more effectively. The system uses live video from road intersections to observe the number of vehicles present in each lane. Based on this information, the signal timing is adjusted dynamically instead of following a fixed pattern.
Another important feature of the system is the detection of emergency vehicles such as ambulances. When such vehicles are identified, the system gives priority by allowing a green signal, helping them move quickly through traffic.
The results show that this approach helps in reducing waiting time, improving traffic flow, and lowering fuel consumption. This system can be useful for developing smarter and more efficient traffic management in urban areas.
Keywords Traffic Signal Optimization, Artificial Intelligence, Traffic Management, Vehicle Detection, Image Processing, Machine Learning, Smart City, Emergency Vehicle Priority
Field Computer Applications
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-05-17
DOI https://doi.org/10.36948/ijfmr.2026.v08i03.78289
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E-ISSN 2582-2160
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