Optimization of Metro Trains Operation Plans Based on Passenger Flow Data Analysis

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Parameters</td><td class="align_center">Value</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Population size</td><td class="align_center">50</td></tr><tr><td class="align_left">Crossover rate</td><td class="align_center">0.95</td></tr><tr><td class="align_left">Variation rate</td><td class="align_center">0.05</td></tr><tr><td class="align_left">Genetic generation</td><td class="align_center">500</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Initial information of the genetic algorithm.</div>

Mathematical Problems in Engineering

tab5

Table 5

Table 5: Optimization of Metro Trains Operation Plans Based on Passenger Flow Data Analysis 