Author

D. Balta

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Open access 2026

An Explainable Spatio-Temporal Framework for Traffic Forecasting Using Graph-Based Features

This study proposes an explainable spatio-temporal machine learning framework that integrates periodic temporal features with graph-based spatial representations and highlights a critical distinction between feature importance and actual predictive utility, referred to in this study as misleading importance.

D. Balta · IEEE Access · 0 citations