Congestion Prediction Based on Dissipative Structure Theory: A Case Study of Chengdu, China

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Group</td><td class="align_center">Order</td><td class="align_center">Bandwidth (unit: m)</td><td class="align_center">Pixel size</td><td class="align_center">Number of hotspots (unit: number)</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">1</td><td class="align_center">1</td><td class="align_center">108.8</td><td class="align_center">10</td><td class="align_center">2104</td></tr><tr><td class="align_left">2</td><td class="align_center">2</td><td class="align_center">317.0</td><td class="align_center">10</td><td class="align_center">623</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Influence of different parameters on the clustering effect.</div>

Mathematical Problems in Engineering

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Table 2

Table 2: Congestion Prediction Based on Dissipative Structure Theory: A Case Study of Chengdu, China 