Real-Time Passenger Flow Monitoring System for Urban Rail Transit Based on Cloud Platform Architecture

Abstract

［Objective］In view of the shortcomings that the existing urban rail transit system unable meeting the requirements for passenger flow data real-time transmission, solutions for real-time passenger flow data transmission, analysis, and storage are studied. ［Method］Current situation of urban rail transit passenger flow and traditional automatic fare collection (AFC) system are introduced; the real-time passenger flow monitoring system of urban rail transit based on cloud platform architecture is analyzed from the perspectives of system architecture, data transmission, and functional application etc.. ［Result & Conclusion］Based on the existing conditions of the current urban rail transit cloud platform architecture and AFC system, the transmission and processing of real-time passenger flow data can be realized by using existing hardware resources and communication channels without increasing terminal collection equipment, hardware equipment and transmission capacity. By using the ticket card data collected by AFC gate, a data interface directly connected to the network center is added to the station computer (SC) end, aiming to realize real-time upload of the ticket card counting data to the network center for analysis and processing, thus achieving business functions such as real-time passenger flow monitoring, passenger flow prediction, and emergency decision-making assistance.

Keywords

• urban rail transit
• real-time passenger flow monitoring system
• cloud platform architecture
• data transmission