The rapid development of intelligent transportation system (ITS) applications demands high quality traffic data.However,presence of abnormal data in the raw data acquired through traffic data collection techniques is inevitable,thereby reducing the validity of traffic data and degrading the performance of ITS applications.In this paper,concerning the traffic data collected using radio frequency identification (RFID)-based traffic data collection technique,a series of evaluation measures are proposed.Based on the characteristics of these measures and comprehensively considering the applicability conditions,advantages and disadvantages of each weight vector,an IOWA operator-based comprehensive evaluation method is proposed.Based on an application of the method to real world RFID data,the proposed method is demonstrated to be effective in evaluating the RFID-based traffic data.