Subway passenger flow analysis and management optimization model based on AFC data

Abstract

With the development of the city, the passenger flow pressure of subway is increasing. At the same time, the daily travel of subway passengers produce a large amount of data such as inbound and outbound. How to use the big data to analyze the passenger flow is the key to solve the problems of crowded carriages and insufficient capacity in peak hours, high empty load rate in low hours and long waiting time for passengers. Based on the AFC data of Beijing subway system, this paper analyzes the temporal and spatial distribution characteristics of the passenger flow in the subway network. At the same time, taking subway line 5 as an example, it quantitatively calculates the imbalance coefficient of passenger flow in time, section and direction. Combined with the calculation results, it also proposes management optimization model and gives some adviceto the subway operation department from the aspects ofpassenger organization and transport management.