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@article{179538,
        author = {Padiya Suveena and Peddipelli Soumya and Ramala Poojitha},
        title = {Smart Control of Traffic Light System Using Artificial Intelliegence},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {8231-8237},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179538},
        abstract = {Traffic congestion is fast becoming one of the major issues with increasing population and automobiles in cities. Traffic jams not only add to the delay and frustration of the drivers, but also contribute to fuel usage and air pollution. Though it seems to be everywhere, mega cities bear the maximum brunt of it. And its ever-increasing nature requires the computation of real-time traffic density on roads for better signal control and effective traffic management. Traffic controller is one of the deciding factors in traffic flow. Therefore, the need to optimize traffic control to address this increasing requirement arises. Our system will employ live feeds from the cameras at intersection points to compute traffic density through image processing and artificial intelligence. It also aims at the algorithm for adjusting the traffic light switch according to the number of vehicles to reduce congestion, hence faster travel to people and reducing pollution.},
        keywords = {Traffic Density Estimation, Intelligence traffic signal Control, Real Time image processing, Artificial intelligence.},
        month = {May},
        }