Machine Learning Models for RealTime Traffic Flow Prediction
DOI:
https://doi.org/10.36676/jrps.v14.i5.1557Keywords:
Machine LearningAbstract
The study focuses on the use of ML algorithms like Random Forest and XGBoost for realtime traffic prediction based on historical data, weather conditions, and road infrastructure data.
References
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