Information fusion based interference solution in electronic toll collection system

Abstract

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 car 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-car interference and adjacent lane interference problems in ETC system.