IOT Smart and Congestion Management

Computer science and Engineering

Rapid urbanisation and population growth have increased smog, resource waste, and traffic congestion in urban areas. Smart city initiatives have been created to address these problems and improve the quality of life for inhabitants by incorporating Internet of Things (IoT) technologies.The possibility of IoT-enabled approaches to reducing traffic congestion in smart cities is examined in this research study. It offers a thorough study of the shortcomings of the existing traffic management systems before giving a summary of IoT-based traffic management solutions.The article looks at how several IoT technologies, like sensors, communication networks, and data analytics, can be combined to create an all-encompassing traffic control system. It emphasises the advantages of applying these technologies to lessen traffic congestion and enhance traffic flow, including real-time monitoring, predictive analytics, and efficient routing.The research report also looks into potential difficulties and hindrances to the deployment of IoT-based traffic management systems, such as infrastructure requirements and security issues. It also covers the governance structure and policy implications necessary for the effective implementation of these solutions.This research highlights the important role that IoT-enabled traffic management systems can play in enhancing the quality of life in smart cities by lowering traffic congestion, enhancing safety, and promoting sustainable transportation. It also sheds light on the difficulties and chances associated with the successful application

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