Comparative Analysis of Polygon-Based and Global Machine Learning Models for Bus Occupancy Prediction

ArXi:2605.00083v1 Announce Type: new Accurate forecasting of bus ridership (passengers numbers) is crucial for efficient management and optimization of public transport systems. Traditional forecasting models often fail to capture the unique and localized dynamics of different urban areas by treating the entire city as a single, homogeneous region. This paper