Research on ITS Detector Data Quality Control Algorithm and Application
Xiaoliang Pi, Ya Sun · Logistics · 2009
Original Traffic information is the foundation of ITS (Intelligence Transportation System) and provides continuation enforcement for the whole system. Therefore as the system raw material, quality of original traffic information will directly influence whole system benefit. In order to improve the raw data for the whole ITS system, the detector data quality control algorithm and method was focused on this research, and the applied system was developed. First, the structure of the overall data quality control system was described, which mainly included the malfunction data distinction model and the malfunction data revision model. Then, the cooperation processing among the modules and different kinds of information was defined. At the same time, the distinction model, the revision model of the loss data, irregular time data, and the unusual data were given. Then the distinction and processing method of fault detector was given. And it had been applied in the SUTSS (Shenzhen Municipal Transport Simulation System), the obtained effect was appraised briefly at last.