Critical Factors Analysis of Severe Traffic Accidents Based on Bayesian Network in China

<table class="table-group" id="tab11"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Severity ranking</td><td class="align_center">Factor sequences</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">1</td><td class="align_center">Poor weather ⟶ straight alignment ⟶ physical separation ⟶ commuter bus involved</td></tr><tr><td class="align_left">2</td><td class="align_center">The commuter bus involved ⟶ overload</td></tr><tr><td class="align_left">3</td><td class="align_center">Poor weather ⟶ overload</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Factor combination sequence result for the number of injuries.</div>

Journal of Advanced Transportation

tab11

Table 11

Table 11: Critical Factors Analysis of Severe Traffic Accidents Based on Bayesian Network in China 