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.
Short-Time Passenger Volume Forecasting of Urban Rail Transit Based on Multiple Fusion
Applied Mechanics and Materials ; 641-642 ; 773-776
2014-09-19
4 pages
Article (Journal)
Electronic Resource
English
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