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Final Smart Traffic Case Study by lpraba581 is a document available to read on EtoBox.

The report discusses a smart traffic control system utilizing IoT and AI to alleviate urban congestion by dynamically optimizing traffic signals based on real-time data. The system aims to enhance traffic flow, reduce waiting times, and is designed to be efficient and scalable, though it faces challenges such as cost and data privacy. Future developments may include integration with autonomous vehicles and smart city infrastructure.

Author
lpraba581
Language
EN