The Use of a Machine Learning Method to Predict the Real-Time Link Travel Time of Open-Pit Trucks

<table class="fixed-width table-group" id="tab12"><tr><td><table class="table"><colgroup><col style="width:4.46em"/><col style="width:5.11em"/><col style="width:5.56em"/><col style="width:5.63em"/></colgroup><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Method</td><td class="align_center">Model</td><td class="align_center">Evaluation</td><td class="align_center">Values</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left" rowspan="2">RTTP</td><td class="align_center" rowspan="2">SVM</td><td class="align_center">MAD</td><td class="align_center"><span style="width: 55.9003ptpx;"><svg height="8.98583pt" id="M198" style="vertical-align:-0.3499308pt" version="1.1" viewbox="-0.0498162 -8.6359 55.9003 8.98583" width="55.9003pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M384 0V27C293 34 287 42 287 114V635C232 613 172 594 109 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<div>Evaluation of the results between LTTP and RTTP.</div>

Mathematical Problems in Engineering

tab12

Table 12

Table 12: The Use of a Machine Learning Method to Predict the Real-Time Link Travel Time of Open-Pit Trucks 