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@article{163845,
        author = {Shweta keshkar  and Mayuri Harde  and Lata dupare  and Aachal wadskar  and Tanushri Ganadhar Hepat and Akshada Dhaneshwar Vidhate},
        title = {Smart traffic management system },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {11},
        pages = {359-362},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=163845},
        abstract = {In urban areas, the burgeoning traffic congestion poses significant challenges to mobility, safety, and environmental sustainability. To address these issues, there is a growing interest in leveraging Internet of Things (IoT) technologies to develop smart traffic management systems. This abstract outlines the fundamental components and functionalities of an IoT-based smart traffic management system designed to enhance the efficiency of urban transportation networks.
The proposed system incorporates various IoT devices, such as sensors, cameras, and actuators, deployed strategically across key points in the road network. These devices collect real-time data on traffic flow, vehicle density, road conditions, and environmental factors. Through wireless communication protocols, the data is transmitted to a centralized control center equipped with advanced analytics and decision-making algorithms.
At the heart of the system lies intelligent data processing and analysis algorithms, which utilize machine learning and predictive modeling techniques to derive actionable insights from the collected data. These insights enable dynamic traffic control strategies, such as adaptive signal timing, congestion detection, and rerouting of vehicles through alternate routes in response to changing traffic conditions.
},
        keywords = {Smart traffic management system },
        month = {},
        }