A Real-Time Train Timetable Rescheduling Method Based on Deep Learning for Metro Systems Energy Optimization under Random Disturbances

<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">Items</td><td class="align_center">Configuration information</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Operating system</td><td class="align_center">Windows 10</td></tr><tr><td class="align_left">CPU</td><td class="align_center">Intel® Xeon® CPU E5-2620 v4 @ 2.10 GHz</td></tr><tr><td class="align_left">RAM</td><td class="align_center">32 GB</td></tr><tr><td class="align_left">Simulation environment</td><td class="align_center">TensorFlow</td></tr><tr><td class="align_left">Locales</td><td class="align_center">Python</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Configuration of numerical experiment.</div>

Journal of Advanced Transportation

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Table 1

Table 1: A Real-Time Train Timetable Rescheduling Method Based on Deep Learning for Metro Systems Energy Optimization under Random Disturbances 