解决电子不停车收费系统干扰问题的信息融合方法  

Information fusion based interference solution in electronic toll collection system

作　　者：王亮[1] 鲁华祥[1] 景为平[2] 陈天翔[3] 

机构地区：[1]中国科学院半导体研究所,北京100083 [2]江苏省集成电路设计重点实验室(南通大学),江苏南通226019 [3]厦门理工学院电子与电气工程系,福建厦门361005

出　　处：《计算机应用》2012年第9期2660-2663,共4页journal of Computer Applications

基　　金：国家自然科学基金资助项目(61076014);江苏省高校自然科学基金资助项目(10KJA510042);厦门市重大科技项目(3502Z20111008)

摘　　要：针对传统方法对于电子不停车收费(ETC)跟车干扰与邻道干扰的解决效率低、成本高,并且分别处理的问题,提出一种基于信息融合的统一解决ETC干扰问题的方法。该方法以系统获得的车辆信息为已知信息,用车辆图像对应的图形特征对其进行验证,再通过D-S证据理论融合验证结果,判断待交易车辆是否为当前车辆。同时,改进了D-S证据使其在验证结果冲突时依然有效。实验结果表明,该方法能可靠地检查出非法车辆,对同时解决跟车干扰与邻道干扰切实有效。Traditional solutions deal with following-car interference and adjacent-lane interference in Electronic Toll Collection （ETC） system separately, and are of low efficiency and high cost. In order to solve this problem, a solution based on information fusion, which can deal with these two problems together, was proposed. This method used the vehicle information collected by an ETC system as known information and chose the features of the vehicle image to verify whether the vehicle information came from the car in question. Then D-S evidence theory was adopted to fuse the results of verification and make a final decision whether it was the right ear to be charged. An improved method for D-S evidence theory was proposed to ensure its validity when the results of consistency verification conflicted with each other. The experimental results show that this method can highly reliably detect illegal vehicles and solve both following-ear interference and adjacent lane interference problems in ETC system.

关 键 词：信息融合 D-S证据理论 电子不停车收费系统 跟车干扰 邻道干扰 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]