Research on Data Mining of Public Transit IC Card and Application

Public transportation IC card systems have a large amount of daily bus passengers travel information, and are a valuable source of information on the city transport system. This paper discusses the need for data mining of public transportation IC cards, and research methods for public transportation IC card data pre-processing. The data from application of statistical clustering on the behavior of bus passengers has been analyzed to calculate the daily average number of passengers travelling, algorithms of different groups of bus passengers and total passenger travel time distribution for the gray relational grade calculation and analysis. This paper uses data from the mass of the public transportation IC card information on urban public transport and the basic rules of travel for the urban public transportation system and provides system optimization to support decision making.