Development Of Real-time Monitoring System For Passenger Flow In Chengdu Metro Based On Ticket Information

With the rapid development of China's urban rail transit industry, people have more travel choices. Urban rail transit with its environmental protection, comfort, punctuality,traffic volume, fast and so on, to make people travel conveniently, more and more people get used to choose the way of urban rail transit. Urban rail transit system can meet the growing demand for urban residents meanwhile to ease the traffic congestion situation, but its own network load intensity is also growing. In order to complete the passenger transport services better, ease the traffic pressure, urban rail transit system needs to have the ability to respond to the changes in passenger capacity.Based on the AFC historical data of Chengdu Metro, this paper studies and develops the real - time monitoring system of passenger flow for Chengdu Metro. Firstly, the passenger flow characteristics of Chengdu Metro are analyzed according to AFC historical data, and the composition of travel time is introduced. Secondly, according to the service object and main business of the urban rail transit system, the functional requirements of the monitoring system are analyzed, and the topological structure modeling of the traffic network is carried out. Thirdly, based on the AFC historical data, the data mining of the destination preference and route preference of the passenger travel is carried out, and the passenger travel habit table is obtained as the basis of real-time monitoring for passenger flow. And the effective path set is solved by using the improved Depth First Search. Then, the details of the network information and the system interface was designed. The basic function and display effect of the display system are tested, and the accuracy of the passenger flow distribution which is predicted according to the passenger's historical habit is tested.