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Hybrid AI Model Predicts City Traffic Three Days Ahead

Summary by BIOENGINEER.ORG
Researchers in Cairo have developed a hybrid CNN–BiLSTM deep learning model fed by IoT sensor data that forecasts urban traffic flow with stable accuracy up to 72 hours ahead, outperforming traditional and single deep learning models.
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Hybrid AI Model Predicts City Traffic Three Days Ahead

Researchers in Cairo have developed a hybrid CNN–BiLSTM deep learning model fed by IoT sensor data that forecasts urban traffic flow with stable accuracy up to 72 hours ahead, outperforming traditional and single deep learning models.

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BIOENGINEER.ORG broke the news on Friday, October 9, 2026.
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