Design Of Real-time Passenger Flow System For Automatic Fare Collection Of Rail Transit

In recent years, China's rapid development of urban rail transit, covering all corners of the city. With the increasingly complex road network, and its relationship with urban development increasingly close, the role of passenger information is not only the traditional sense of the passenger statistics and accounts of the liquidation, but also to enhance the operational capacity of enterprises And urban planning. The standard AFC five-tier system architecture can not meet the increasing demand for data mining due to its many limitations.This paper expounds the present situation and the shortcomings of passenger flow statistical analysis of the automatic fare collection system, puts forward the demand analysis of the real-time passenger flow system design based on the automatic fare collection system, from the three aspects of system architecture, functional design and non-functional design The system of the overall design framework, and detailed description of the real-time passenger flow system, liquidation analysis, statistical analysis of data reporting and passenger forecasting, publishing and display three subsystems, through these three subsystems, real-time passenger flow system to achieve the required items Business functions. Finally, the usability, real-time and accuracy of real-time passenger flow system design are verified by interface display, performance test, data comparison and functional test.The real-time passenger flow system designed in this paper is the first set of real-time passenger flow data system in domestic and overseas rail transit industry. It is advanced and innovative, and meets the related business requirements. Has been officially put into the Shanghai Metro FTA system for the production and operation, and for a number of municipal units to provide external data interface. Providing real-time passenger flow data for the operation of large-scale events, holidays and special scenic spots, and providing data support for large passenger flow diversion and operation adjustment.