Passenger Capacity Prediction Model Based on LOGIT and System Dynamics for Passenger Dedicated Line
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Abstract
Passenger volume prediction plays an extremely important role in the planning of passenger train operation. According to the characteristics of passenger dedicated lines (PDL), the different demand of different passengers. A system dynamics model was developed to predict the passenger volume considering passengers' traffic characteristics. At last, the accuracy of the prediction model was verified by an example of Zheng-Xi passenger dedicated line. The results show that the predict results of the model are more reasonable compared with the LOGIT prediction model.
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