Study of the Bus Dynamic Coscheduling Optimization Method under Urban Rail Transit Line Emergency

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/cin/volume-2014/174369/figures/174369.fig.004a.svgz" name="174369.fig.004a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Evacuation destinations are rail transit stations</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/cin/volume-2014/174369/figures/174369.fig.004b.svgz" name="174369.fig.004b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Evacuation destinations are bus parking spots</td></tr></table>

<div>Results of sensitivity analysis.</div>

Computational Intelligence and Neuroscience

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Figure 4

Figure 4: Study of the Bus Dynamic Coscheduling Optimization Method under Urban Rail Transit Line Emergency 