Forecasting Daily Changes in Passenger Flows in a Large Urban Agglomeration Based on Mobile Operator Data
Purpose: to develop and comparatively analyze models for short-term forecasting of total daily intermunicipal passenger flows in a large urban agglomeration based on mobile operator data and to identify the approaches providing the highest forecast accuracy. Methods: linear, log-linear, and Poisson regressions, the Hol...