Passenger flow forecast of new urban rail transit lines

Abstract

Urban rail transit is developing rapidly, and new lines are constantly being opened and connected to the existing road network. Accurately grasping the passenger flow after the opening of the new line can provide a reference for the operation and management of urban rail transit stations. In order to predict the daily passenger flow after the opening of the new line, based on the passenger flow of the existing line stations, combined with the distribution of job-resident population, the new line stations and the existing line stations are matched by station classification, and a neural network model is established to predict the daily passenger flow after the new line is opened. The passenger flow provides a reference for the passenger flow management for the opening of new rail transit lines in the future.