Passenger flow prediction at entrance and exit of rail transit stations：A case study of Beijing

Regarding the accurate prediction of passenger flow at the entrance and exit of rail transit stations，Considering the land use around the station，Rail transit connection conditions，station attributes and attraction，a two-level passenger flow prediction model is constructed in this paper，station attributes and attraction，a two-level passenger flow prediction model is constructed in this paper，including the passenger flow prediction at the traffic district level based on multiple nonlinear regression and the passenger flow prediction at the entrance and exit level based on the CRITIC method. On the basis of the available data，the total passenger flow of all entrances and exits in the traffic district is predicted，and then be allocated to each entrance and exit. Different types of rail transit stations are randomly selected to verify the effectiveness of the model. The results show that the error between the predicted value of the model and the actual value of the daily entry volume is within 30%，and the average error is 20%，which has a high prediction accuracy. © 2024 Editorial Board of Jilin University. All rights reserved.