Research Article
A Bayesian Network Approach to Causation Analysis of Road Accidents Using Netica
Table 3
Sensitivity analysis result of the node “crash type.”
| Node | Mutual info | Percent | Variance of beliefs |
| Crash type | 2.82978 | 100 | 0.7195390 | Driver’s apparent error | 0.57217 | 20.2 | 0.0869963 | Vehicle movement | 0.33948 | 12 | 0.0351281 | Total casualties | 0.21563 | 7.62 | 0.0057073 | Crash severity | 0.17897 | 6.32 | 0.0037534 | Road geometry | 0.04044 | 1.43 | 0.0008944 | Total serious injuries | 0.01888 | 0.667 | 0.0004707 | Traffic control | 0.01125 | 0.398 | 0.0001573 | Road moisture condition | 0.00503 | 0.178 | 0.0001027 | Light condition | 0.00417 | 0.147 | 0.0000915 | Total estimated damage | 0.00407 | 0.144 | 0.0000533 | Total units involved | 0.00394 | 0.139 | 0.0002397 | Weather condition | 0.00313 | 0.111 | 0.0000638 | Vehicle type | 0.00000 | 0.000 | 0.0000000 |
|
|