The automated data collection (ADC) system is an intelligent transportation system that is becoming increasingly popular among transit operators. In addition to fare control, the data collected by these systems can be very useful in transit planning. This paper studied the applications of data mining technique in the information processing of automated data collection systems in subway, and put forward a framework for data mining system. The author studied on the analysis method in subway passenger flow and travel information, based on current technology in the subway data collection. Using data mining techniques and statistical analysis, the subway OD matrix is derived from collection data, travel time distribution of passengers was carried out a detailed description, it is of important significance in scheduling and management of metro systems. © Springer-Verlag 2012.
CITATION STYLE
Zhang, S. (2012). Data mining and analysis of integrated circuit card data in subway. In Lecture Notes in Electrical Engineering (Vol. 144 LNEE, pp. 739–744). https://doi.org/10.1007/978-3-642-27326-1_95
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