A Data-Driven Air Transportation Delay Propagation Model Using Epidemic Process Models

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/ijae/volume-2016/4836260/figures/4836260.fig.009a.svgz" name="4836260.fig.009a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Evaluated fractions of infection for 10 busiest airports in Europe through the airport-based epidemic model</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/ijae/volume-2016/4836260/figures/4836260.fig.009b.svgz" name="4836260.fig.009b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Real fractions of infections for 10 busiest airports in Europe</td></tr></table>

<div>Comparison between the results of the airport-based epidemic model and real data on June 02, 2015.</div>

International Journal of Aerospace Engineering

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Figure 9

Figure 9: A Data-Driven Air Transportation Delay Propagation Model Using Epidemic Process Models 