Application of Data Mining Technology in Analyzing the Impact of Mileage on Unqualified Rate of Vehicle Emission Inspection

3rd International Symposium on Resource Exploration and Environmental Science

生态环境科学

Tuu Nguyen, Van^1^2 ; Chu, Jiangwei^1

Traffic College, Northeast Forestry University, Harbin, China^1

Vietnam National University of Forestry, Hanoi, Viet Nam^2

关键词: Data mining methods;    Data mining technology;    Inspection datum;    Vehicle emission;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/300/3/032085/pdf
DOI  :  10.1088/1755-1315/300/3/032085

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

The study uses data mining method to analyze the impact of mileage on the unqualified rate of vehicle emission inspection. The result of data mining shows that with the increase of mileage, the unqualified rate of commercial vehicles and noncommercial vehicles increased. Specifically, in the range of 0-200,000 km, the emission inspection unqualified rate of commercial vehicles is twice that of noncommercial. In the range of 200,000-600,000 km, the emission inspection unqualified rate of commercial vehicles is always higher than that of non-commercial vehicles. This result shows that mileage has a significant impact on vehicle emission status, and the unqualified rate of vehicle emission inspection is proportional to mileage mission inspection data.