Identification of Working Trucks and Critical Path Nodes for Construction Waste Transportation Based on Electric Waybills: A Case Study of Shenzhen, China

<table class="table-group" id="tab9"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Model</td><td class="align_center">Decision tree</td><td class="align_center">Random forest</td><td class="align_center">GDBT</td><td class="align_center">XGBoost</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Accuracy</td><td class="align_center">0.8421</td><td class="align_center">0.8769</td><td class="align_center">0.8892</td><td class="align_center">0.9057</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Journal of Advanced Transportation

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Table 9

Table 9: Identification of Working Trucks and Critical Path Nodes for Construction Waste Transportation Based on Electric Waybills: A Case Study of Shenzhen, China 

Table 9 | Identification of Working Trucks and Critical Path Nodes for Construction Waste Transportation Based on Electric Waybills: A Case Study of Shenzhen, China 