ETC Data Based Traffic Information Mining Techniques

Abstract

The electronic toll collection (ETC) system is an importation subsystem in the intelligent transportation system (ITS). It can continuously record the time of vehicles entering or departuring from the certain toll station. Based on the charge transaction data of ETC system, this paper analyzed the original data and determined the data processing flow of ETC Data. Then, it proposed the travel speed calculation model of freeway, the traffic flow distribution analysis method, the information mining techniques of OD distribution, vehicle type proportion in different toll gate, and so on. The research finally took the ETC data of Beijing city in 2008 as an example, and carried a case analysis. The result indicated that the data processing and the index extraction techniques proposed in this research can accurately gain the information which is necessary in the freeway operation and management. These provide effective decision-making support for the freeway travelers' information service and the highway traffic operation and the plan.