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@article{178496,
        author = {Atharva Kavade and Ganesh Ubale and Hardik Khade and Vivek Kendre and Sushant Katare and Shripad Kanakdande},
        title = {ADAPTIVE TRAFFIC CONTROL SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {5635-5640},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178496},
        abstract = {The traffic congestion has become one of the major challenges, along with growing population and numbers of vehicles in cities. Traffic congestion causes not only delays and additional stress for car drivers but increases fuel consumption and air pollution. Although the issue is very commonly faced, in megacities, it is much more serious. The continuous growth underlines the demand for real-time traffic density measurement due to its importance for efficient signal control and traffic management. Traffic controllers need to play a very important role in regulating the flow of vehicles smoothly, and optimization of their operations is hence quite necessary in handling the growing demand. Our proposed system uses live camera feeds from the traffic junctions to measure vehicle density with image processing and AI techniques. It can also dynamically adjust the phases of a traffic light through an algorithm, which takes into consideration vehicle density, to reduce congestion and allow smoother flow on the roads and minimize levels of pollution},
        keywords = {},
        month = {May},
        }