Egypt
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A Deep Learning Model Improved Traffic Prediction Accuracy by 20 to 50 Percent Over Baseline Models in a Simulated Smart-City V2X Network.
METHODOLOGY
The study utilized time-series throughput data generated by the simulated V2X system to train and test the DL models. To ensure the models were robust across various operational scenarios…
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Date Posted
03/27/2026
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ITS Communications (SU07)
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