Analysis and application of automated data collection system in subway

Automatic data collection (ADC) systems are becoming increasingly common in transit systems throughout the world. Although these ADC systems are often designed to support specific fairly narrow functions, the resulting data can have wide-ranging application, well beyond their design purpose. Relative to traditional manual survey, transportation planners only need to dig existed database to get both real-time and long term information using automated collection data. 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 and capacity rate is derived from collection data, travel time distribution of passengers was carried out a detailed description, and it is of important significance in scheduling and management of metro systems.