Research on Cascading Failure Model of Urban Regional Traffic Network under Random Attacks

<table class="fixed-width table-group" id="tab2"><tr><td><table class="table"><colgroup><col style="width:9.83em"/><col style="width:3.12em"/><col style="width:3.41em"/></colgroup><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Node degree</td><td class="align_center">3</td><td class="align_center">4</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">The number of nodes</td><td class="align_center">4</td><td class="align_center">30</td></tr><tr><td class="align_left">Proportion (%)</td><td class="align_center">11.76</td><td class="align_center">88.24</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Statistics of node degree in Shenyang regional traffic network.</div>

Discrete Dynamics in Nature and Society

tab2

Table 2

Table 2: Research on Cascading Failure Model of Urban Regional Traffic Network under Random Attacks 