Prediction of Ship Traffic Flow and Congestion Based on Extreme Learning Machine with Whale Optimization Algorithm and Fuzzy <i>c</i>-Means Clustering

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Congestion level</td><td class="align_center">I</td><td class="align_center">II</td><td class="align_center">III</td><td class="align_center">IV</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Description</td><td class="align_center">Smooth flow</td><td class="align_center">Mild congestion</td><td class="align_center">Moderate congestion</td><td class="align_center">Severe congestion</td></tr><tr><td class="align_left">Congestion index range</td><td class="align_center">(0, 0.3]</td><td class="align_center">(0.3, 0.6]</td><td class="align_center">(0.6, 0.8]</td><td class="align_center">(0.8, 1]</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Classification of ship congestion adopted in this study.</div>

Journal of Advanced Transportation

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Table 1

Table 1: Prediction of Ship Traffic Flow and Congestion Based on Extreme Learning Machine with Whale Optimization Algorithm and Fuzzy <i>c</i>-Means Clustering 

Table 1 | Prediction of Ship Traffic Flow and Congestion Based on Extreme Learning Machine with Whale Optimization Algorithm and Fuzzy c-Means Clustering 