Simulation-Based Genetic Algorithm towards an Energy-Efficient Railway Traffic Control

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left"> </td><td align="center">Rate of total energy consumption to energy consumed by traction operations (%)</td><td align="center">Utilization rate of energy regenerated by dynamic braking operations (%)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">CRU100</td><td align="center">87.68</td><td align="center">92.32</td></tr><tr><td align="left">CRU100_COA</td><td align="center">86.17</td><td align="center">81.75</td></tr><tr><td align="left">MULTI</td><td align="center">87.42</td><td align="center">80.25</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Reutilization of energy regenerated by dynamic braking operations.

Mathematical Problems in Engineering

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Table 3

Table 3: Simulation-Based Genetic Algorithm towards an Energy-Efficient Railway Traffic Control 