An Identification Method of Fake Plate Vehicles Using Two Type Traffic Data Collecting from Traffic Base Stations

False plates vehicles have negative impacts on social security and transportation management.Therefore, it is necessary to explore a fast and effective approach to identify the false plate vehicles.This paper develops an identification approach based on radio frequency identification (RFID) data and images from traffic base stations.At one base station, a vehicle''s plate number should be coincident in RFID system and image recognition system.Based on this fact, suspected fake plate vehicles can be detected in each station.Combines data from multiple base stations, the recognition rates effectively increased.Actual data collected from six base stations on arterial roads of Nanjing is used as a case study.Compared with only two base stations, the number of fake plate vehicles detected by five base stations is reduced by 210, which indicates that increasing number of stations can decrease the false positive rate of fake plate vehicles.The accuracy of verifying the suspected vehicles based on this method is 94.5%.Large coverage, timelessness limitation, and rapid response are the advantages of this method compared with traditional methods, and it can provide strong supports for traffic police departments to investigate and control fake plate vehicles.