An Evacuation Route Model of Crowd Based on Emotion and Geodesic

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/mpe/volume-2018/5397071/figures/5397071.fig.007a.svgz" name="5397071.fig.007a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Evacuation simulation result by our approach in a maze</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/mpe/volume-2018/5397071/figures/5397071.fig.007b.svgz" name="5397071.fig.007b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Evacuation simulation result by RVO [<a href="/journals/mpe/2018/5397071/#B4">4</a>] in a maze</td></tr></table>

<div>Performance comparison. Our algorithm has a performance advantage compared with the existing algorithms.</div>

Mathematical Problems in Engineering

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Figure 7

Figure 7: An Evacuation Route Model of Crowd Based on Emotion and Geodesic 