Mase Mokotsolane

Advances in intelligent transportation systems: ML and DL techniques for traffic congestion forecasting

A key contribution of this study lies in its comparative synthesis of ML and DL models, revealing that hybrid and graph-based DL architectures consistently outperform traditional ML methods when handling large-scale, heterogeneous traffic datasets.