Road Adhesion Coefficient Estimation Based on Vehicle-Road Coordination and Deep Learning

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Vehicle condition</td><td class="align_center">Value</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Vehicle quality</td><td class="align_center">2335 kg</td></tr><tr><td class="align_left">Vehicle length ∗ width ∗ height</td><td class="align_center">5035 ∗ 1989 ∗ 1778 mm</td></tr><tr><td class="align_left">Tire diameter</td><td class="align_center">20 inches</td></tr><tr><td class="align_left">Vehicle wheelbase</td><td class="align_center">3008 mm</td></tr><tr><td class="align_left">Minimum ground clearance</td><td class="align_center">190 mm</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Vehicle model parameters of CarSim.</div>

Journal of Advanced Transportation

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Table 1

Table 1: Road Adhesion Coefficient Estimation Based on Vehicle-Road Coordination and Deep Learning 