Enhanced tourist flow forecasting in Aosta Valley: A novel ensemble AI framework with adaptive temporal dynamics
Fig 2
Adaptive Temporal Ensemble (ATE) framework pipeline.
The system architecture displays the complete data flow from multi-source inputs through the ensemble prediction process. The pipeline begins with three parallel data streams: traffic sensor data (14 monitoring gates, 41M+ passages), meteorological records (43K+ hourly observations with 673 variables), and calendar information (52K+ records with 98 features).