Analysis Of Subway Passenger Flow And Passenger Travel Characteristics Based On AFC System Data

In recent years, with the rapid development of rail transportation, rail transit produces daily a large amount of stop, station, selling cards, prepaid data showing explosive growth. However, track traffic data perennial scattered in various stations and lines, there is no uniform system of data to collect and query, therefore, the development of a set to set query passenger flow, fault processing, report generation and other functions in one of the automatic fare collection query system and the system data analysis is particularly important. To solve the above problem, this paper presents an analysis of domestic and international rail traffic and vending ticket system present situation, and combined with the needs of daily work, automatic fare collection system function is introduced. Secondly, to ticket to change before and after the passenger flow data, for example, from pitted amount, the fare, the fare such as angle of contrast analysis passenger flow data and the passenger behavior characteristics. Finally, the larger traffic HaidianHuangzhuang station as the research object, through on-site observation and trip characteristics of AFC system data analysis, put forward the station optimization scheme from the perspective of time,personnel, management, optimization results, the rail traffic management to monitor and control the passenger status has been strengthened, improve the operation and management the station level and improve employee productivity, play subway transportation potential, but also conducive to the rail transit network to take timely and effective measures in the process of operation, to avoid congestion, passenger flow disturbance, eliminate the hidden trouble of safety of passengers flow congestion,rail traffic safety, efficient and convenient operation across the board.