sumo-simulated-data

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Baranika0422 / AI-Driven-Traffic-Congestion-Prediction-FPGA-Based-Signal-Controller

AI-driven models can predict congestion and optimize signal timings dynamically, improving traffic movement. Combining these predictions with FPGA-based real-time control enables fast, reliable, and intelligent traffic management for modern smart cities.

fpga cnn-lstm traffic-congestion traffic-controller anaconda-prompt sumo-simulated-data ml-prediction-directionwise green-light-adjestment fail-safe-mode

Updated Dec 28, 2025
Python

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