Combined Prediction Model of Death Toll for Road Traffic Accidents Based on Independent and Dependent Variables

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td align="left">Independent variables</td><td align="center">Correlation coefficient related to fatalities of traffic accidents  </td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td align="left">Vehicle population (10<sup>4</sup>  vehicles)</td><td align="center">0.941</td></tr><tr><td align="left">Population (10<sup>4</sup>  persons)</td><td align="center">0.987</td></tr><tr><td align="left">GDP (10<sup>8</sup>  yuan)</td><td align="center">0.971</td></tr><tr><td align="left">Freight volume by road (10<sup>4</sup><svg height="8.35422pt" id="M46" style="vertical-align:-0.2130003pt" version="1.1" viewbox="-0.0498162 -8.14122 4.73688 8.35422" width="4.73688pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.0135,0,0,-0.0135,0,0)"><path d="M324 430H196L233 583L223 592L145 529L120 430H54L29 396L31 388H111L56 126C33 15 54 -12 77 -12C137 -12 214 57 250 95L233 119C208 92 155 59 138 59C126 59 120 70 131 125L186 390L298 394L324 430Z" id="g113-117"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="341" vert-adv-y="341"></glyph.data></g></svg>)</td><td align="center">0.951</td></tr><tr><td align="left">Passenger volume by road (10<sup>4</sup>  persons)</td><td align="center">0.974</td></tr><tr><td align="left">Road mileage (km)</td><td align="center">0.890</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Computational Intelligence and Neuroscience

tab4

Table 4

Table 4: Combined Prediction Model of Death Toll for Road Traffic Accidents Based on Independent and Dependent Variables 