Igor Gavrilov

Hybrid SARIMA-recurrent neural network approach for road accident forecasting

A hybrid model integrates SARIMA forecasts with RNN-based residual predictions as a methodological extension whose empirical performance is rigorously evaluated against the baseline, confirming its effectiveness in capturing temporal dependencies in the log-residual space.