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Short-Time Passenger Volume Forecasting of Urban Rail Transit Based on Multiple Fusion

Aiming at enhancing the estimation performance of passenger volume for urban transit, based on analysis of horizontal and vertical characteristics and principles of multiple fusion technology, respectively, establishing 3 forecast models, and compared with the measured data. The results show that, the proposed new method has a comparative advantage to reduce prediction error.