Research Article
Critical Factors Analysis of Severe Traffic Accidents Based on Bayesian Network in China
Table 6
The conditional probability of the number of deaths for the single-vehicle traffic accident.
| Factor variables | Result variables | Number of deaths | Number of injuries | 10 number of deaths 19 | 20 number of deaths 29 | Number of deaths 30 | 10 number of deaths 19 | 20 number of deaths 29 | Number of deaths 30 |
| Overspeed | Yes | 0.5368 | 0.3880 | 0.0751 | 0.2022 | 0.6356 | 0.1622 | No | 0.3334 | 0.6265 | 0.0401 | 0.2045 | 0.6312 | 0.1643 |
| Commuter bus involved | Yes | 0.3996 | 0.4987 | 0.1016 | 0.1943 | 0.1992 | 0.6065 | No | 0.4756 | 0.3657 | 0.1587 | 0.6383 | 0.3037 | 0.0543 |
| Straight alignment | Yes | 0.5384 | 0.2224 | 0.2392 | 0.2009 | 0.6411 | 0.1579 | No | 0.5573 | 0.2133 | 0.2294 | 0.2049 | 0.6418 | 0.1533 |
| Physical separation | Yes | 0.4808 | 0.2240 | 0.2693 | 0.1882 | 0.6376 | 0.1742 | No | 0.5345 | 0.2499 | 0.2416 | 0.1986 | 0.6320 | 0.1694 |
| Slippery pavement | Yes | 0.5367 | 0.2226 | 0.2407 | 0.1964 | 0.6098 | 0.1937 | No | 0.5269 | 0.2264 | 0.2467 | 0.1991 | 0.6212 | 0.1796 |
| Occurring period | Day | 0.5663 | 0.2108 | 0.2229 | 0.3567 | 0.4974 | 0.1459 | Night | 0.4571 | 0.2588 | 0.2840 | 0.1341 | 0.4595 | 0.4064 |
| Poor weather | Yes | 0.4469 | 0.2583 | 0.2949 | 0.1890 | 0.6042 | 0.2068 | No | 0.5656 | 0.2117 | 0.2227 | 0.2254 | 0.7225 | 0.0521 |
| Visibility well | Yes | 0.5078 | 0.2363 | 0.2558 | 0.1889 | 0.6202 | 0.1910 | No | 0.5512 | 0.2173 | 0.2315 | 0.2088 | 0.6761 | 0.1150 |
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