Bayboboeva Firuza

AN INTEGRATED ML AND GEOSPATIAL FRAMEWORK FOR CONTEXT-AWARE SHORTTERM CONGESTION FORECASTING IN TOURISM-HEAVY URBAN MOBILITY NODE

It is demonstrated that integrating computer-vision traffic sensing with contextual feature engineering and uncertainty-aware learning yields reliable, interpretable 15-minute congestion forecasts that enables proactive, risk-informed interventions that help protect the physical carrying capacity and heritage-setting q...