A Comparative Analysis of Machine Learning Algorithms for Urban Traffic Congestion Prediction: The Impact of Hyperparameter Optimization
Accurately predicting urban traffic congestion is a central requirement in modern Intelligent Transportation Systems (ITS). Although machine learning (ML) remains the primary tool for this task, model performance is strongly influenced by the characteristics and quality of the training data. This study presents a compa...