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@article{144623,
        author = {Latha A P and Mohammed Ismail  and B.A. Shamanth and Karegowda Patil Ramesha},
        title = {Dynamic Detection of Traffic Congestion and Management},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {1},
        pages = {262-267},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=144623},
        abstract = {Traffic congestion has become a major problem in every large city of the world. To ensure a reliable transportation system it is important to have an intelligent traffic control system. In this paper we propose a method for determining traffic congestion on roads using image processing techniques and a model for controlling traffic signals based on information received from images of roads taken by a video camera. We extract traffic density which corresponds to total area occupied by vehicles on the road in terms of total amount of pixels in an image instead of calculating number of vehicles. We dynamically set the timer for each road based on the traffic density in a sequential manner(clock-wise)},
        keywords = {Traffic Congestion; Image Pixels; Traffic density},
        month = {},
        }