
Application of Data Mining Technology in Analyzing the Impact of Mileage on Unqualified Rate of Vehicle Emission Inspection
Author(s) -
Van Tuu Nguyen,
Jiangwei Chu
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/300/3/032085
Subject(s) - range (aeronautics) , automotive engineering , environmental science , transport engineering , computer science , engineering , aerospace engineering
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.