基于双基站交通数据采集技术的假套牌车辆识别方法

假牌、套牌车辆对社会安全和交通运输行业的秩序造成了极大的负面影响,寻找快速有效的假套牌车辆识别方法十分必要.研究了一种基于射频识别(RFID)技术和图像识别技术结合的假套牌车辆识别方法.对同一处基站的RFID系统和视频抓拍识别系统采集的车辆车牌信息进行对比分析,得出疑似假套牌车辆.然后对多基站检测信息联合比对,相比于单基站,降低了疑似假套牌车辆的数量.选取南京市主干道上6个基站的检测数据作为实例,检测结果发现,通过5处基站检测的假套牌车辆比通过2处基站检测的假套牌车辆减少了210辆,降低了假套牌车辆的误检率.对建立的疑似假套牌车辆数据库验证分析,其正确率达到94.5%.相比较传统的方法,其具有覆盖范围大、不受时间限制、反应迅速等优势,可为交警部门查处假套牌车辆提供有力支撑. 

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.