Urban Rail Transit Passenger Flow Monitoring Method Based on Call Detail Record Data

Abstract

The interior of urban rail transit system has always been the blind area of traditional passenger flow monitoring methods. The call detail record (CDR) data is a kind of data containing passenger travel information with the advantages of wide coverage and no dead angle. It can well complement the shortcoming that traditional passenger flow monitoring method has blind areas. This paper proposes an approach of urban rail passenger flow monitoring based on CDR data which can directly monitor passenger flow in metro station and passenger flow on different routes. It makes up the defect that previous research can only estimate passenger flow by models. Experiment with actual data, the one-week passenger flow of Beijing Metro Line 2 is monitored. It shows that the characteristics of passenger flow are closely related to the nature of land use and passengers are more likely to be affected by transfer times when transferring. The experimental results match reality and verify the feasibility of the algorithm.