Abstract: The verification of new energy bus operation mileage is an important part of the new energy bus subsidy declaration work. The verification of declaration data has problems, such as large workload and low efficiency. In this paper, descriptive analysis and one-way ANOVA of the declared data show that the length of the vehicle is related to the annual operating mileage of the vehicle. Based on this, the linear SVM algorithm is used to supervise the operational mileage declaration data. By using the linear kernel function, training the SVM and selecting the appropriate penalty parameter C, the optimal SVM is constructed to identify suspicious values. Experimental results show that the linear SVM algorithm can detect vehicles with suspicious annual operating mileage more effectively, which can provide reference for the verification of new energy bus operation mileage.

Key words: new energy bus operation mileage verification, abnormal point detection, SVM, linear kernel function