Vehicles report-stop fraud is an important factor of highway fees loss, which is more than the proportion of 20% of the total loss in statistics. The paper uses data mining and data warehouse technology to resolve the deficiencies of traditional data management information system on the analysis of vehicles report-stop fraud. The significance of the issue and mining goal were described, and the correlational database used to integrate was analysed. what's moer, the analysis model and arithmetic of data mining on the report-stop fraud of vehicles were expatiated. Chaperonaging the process, a practical example was demonstrated by using the data mining technology, which shows it has a better application value in the analysis of vehicles report-stop fraud.