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@article{170186,
        author = {Dornala Shivani and Purimi Sri Vidya and Kothapalli Hasya Sridevi and Dr. V R Seshagiri Rao},
        title = {Intelligent Traffic Management System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {3688-3695},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170186},
        abstract = {Traffic congestion is the most common problem in the majority of the countries around the world due to increased population and urbanization. Traffic blockage is mainly due to the increased number of vehicles, poor infrastructures and failure of existing systems. Unfortunately, road traffic is currently controlled by very old traffic signals (tri-color signals) regardless of the relentless effort devoted to developing, improving the traffic flow and they are no time to some environmental conditions, like rain. Using IoT-based techniques, we can reduce the current challenges with the prior knowledge of the traffic information Intelligent traffic system provides a solution to these problems with the help of new technologies. This system is simple and easy to implement, reduces the accident rate, waiting time for traffic and also fuel consumption. The advent of IoT-based technologies presents a promising solution to these persistent challenges. By leveraging real-time traffic data, intelligent traffic systems can monitor vehicle density, predict congestion patterns, and adjust traffic signals accordingly. This dynamic approach not only optimizes traffic flow but also significantly reduces wait times and minimizes fuel consumption, leading to lower emissions and a more sustainable urban environment.},
        keywords = {IoT, Traffic Management, Intelligent Systems, Urban Mobility, Real-Time Data, Adaptive Traffic Control, Traffic Flow Optimization, Environmental Sustainability Traffic Signal Algorithms.},
        month = {December},
        }