Research on Passenger Flow Path Reduction of Urban Rail Transit Based on AFC Data and Transfer Estimation

摘要

In this paper, the acquisition of AFC system in the data of total passenger travel time into walking time, the train running time, train time, transfer time and waiting time to five parts, using the mean estimate the five unknown variables, at the same time using the A * pathfinding algorithm traverses all paths between the OD and calculate the travel time of the theoretical value, the closest to real passengers travel long is one of the most matching paths. The research on the passenger flow path reduction model of urban rail transit network helps managers master the real-time distribution of passenger flow in the network and further improves the quality of the train operation plan of urban rail transit network.