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@article{205271,
        author = {Ms. Gorde V.S. and Mr. Abhale B.A. and Mr. Patil Kunal N. and Ms. Thorat sakshi A. and Ms. Thombare Pratiksha R. and Mr. Paithankar Vinay S.},
        title = {Traffic Congestion System Using Big Data and IOT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {5931-5936},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=205271},
        abstract = {The project is designed to develop a density based dynamic traffic signal system. The signal timing changes automatically on sensing the traffic density at the junction. Traffic congestion is a severe problem in many major cities across the world and it has become a nightmare for the commuters in these cities. Conventional traffic light system is based on fixed time concept allotted to each side of the junction which cannot be varied as per varying traffic density. Junction timings allotted are fixed. Sometimes higher traffic density at one side of the junction demands longer green time as compared to standard allotted time. The object detection in the traffic signal is processed and converted into simulator then its threshold is calculated based on which the contour has been drawn in order to calculate the number of vehicles present in the area. After calculating the number of vehicles, we will come to know in which side the density is high based on which signals will be allotted for a particular side.},
        keywords = {Internet of Things (IoT), Big Data Analytics, Intelligent Traffic Management, Smart Cities Predictive Analytics, Machine Learning, Real-Time Data Processing, Urban Mobility, Traffic Congestion.},
        month = {June},
        }