Research Article

Crash/Near-Crash Analysis of Naturalistic Driving Data Using Association Rule Mining

Table 5

Patterns of four types of crash events.

No.SeverityAntecedentsConfConv

2-item rules
1I0.0530.1811.3211.054
20.0730.1571.1461.024
3II0.0520.1981.2131.043
40.0640.1881.1501.030
5III0.0700.2091.1621.037
60.0530.2071.1471.033
7IV0.0670.2011.2651.053
80.0960.1991.2521.050
3-item rules
9I0.0520.1851.3441.058
100.0520.1821.3241.054
11II0.0530.2091.2821.058
120.0600.2001.2261.046
13III0.0500.2261.2531.059
140.0660.2191.2151.050
15IV0.0600.2331.4691.097
160.0640.2281.4381.090
4-item rules
17I0.0520.1861.3511.059
180.0540.1761.2811.047
19II0.0560.2101.2861.059
200.0520.2071.2691.055
21III0.0640.2321.2871.067
220.0570.2261.2541.059
23IV0.0590.2441.5371.113
240.0590.2411.5191.109
5-item rules
25I0.0500.1831.3341.056
260.0560.1761.2791.047
27II0.0500.2111.2931.061
280.0520.2021.2401.049
29III0.0570.2401.3291.078
300.0630.2391.3271.077
31IV0.0560.2481.5641.119
320.0570.2471.5551.117
6-item rules
33I0.0500.1731.2621.043
340.0590.1601.1621.026
35II0.0540.1791.0991.020
360.0530.1791.0961.019
37III0.0570.2521.3961.095
380.0600.2401.3311.079
39IV0.0570.2471.5551.117
400.0540.2471.5541.117