The project aims to pilot traffic control strategies using energy-efficient smart EDGE devices. It involves identifying challenges in dense urban traffic, developing robust datasets for monitoring and forecasting, applying approximate computing to optimize deep learning models, and deploying multiple EDGE devices to implement effective congestion-reduction mechanisms at busy intersections.
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