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Title	An Innovative Road And Traffic Safety Management System Using Iot
ID_Doc	8388
Authors	Bolla D.R.; Raj A.; Suhane H.; Ranjan M.; Chavhan S.
Year	2024
Published	Proceedings - 2024 2nd International Conference on Advanced Computing and Communication Technologies, ICACCTech 2024
DOI	http://dx.doi.org/10.1109/ICACCTech65084.2024.00109
Abstract	With urbanization accelerating and traffic congestion intensifying, traditional traffic management approaches are strained to their limits. Embracing the transformative potential of Internet of Things (IoT) technology, this research delves into the design, implementation, and evaluation of IoT -based traffic control systems. Through meticulous data acquisition, real-time monitoring, and adaptive decision-making, these systems promise to revolutionize urban mobility. Key findings highlight remarkable enhancements in traffic efficiency, congestion reduction, and overall urban mobility. Innovations in predictive analytics and adaptive control mechanisms stand out, offering cities newfound capabilities in tackling congestion hotspots and optimizing traffic flow dynamically. The convergence of IoT and traffic control not only fosters safer, more sustainable urban environments but also sets the stage for smarter cities of the future. © 2024 IEEE.
Author Keywords	adaptive decision-making; congestion reduction; Internet of Things (IoT); predictive analytics; real-time monitoring; smart cities; traffic control systems; urban mobility

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