Table 1.
Studies on factors related to road accidents.
Fig 1.
Proposed computational steps.
Table 2.
Attribute definitions and collected data values.
Table 3.
Dataset records, class records, and class ratios in the experimental datasets.
Table 4.
Parameter settings of the five RBML classifiers.
Table 5.
Top 10 traffic accident locations in Touyuan City.
Table 6.
Results of the collinearity test using VIF of multiple linear regression.
Table 7.
Results of the four attribute selection methods and COM_3 in the CF ≥ 10 dataset.
Table 8.
Results of factor analysis in CF ≥ 10 dataset.
Table 9.
Results of the six datasets (full attributes) based on different accident frequencies.
Table 10.
Results of three-stage dimension reduction for CF ≥ 1 and CF ≥ 10 datasets.
Fig 2.
DT diagram of accident severity in the CR ≥ 10 dataset.
Note: Y denotes injury or death, N denotes uninjured.
Table 11.
Results of COM_3 integrated attributes and then removing collinear attributes.
Table 12.
Road accident factors and attribute value more than 50%.