A Trajectory Partition Method Based on Combined Movement Features

<figure class="figure-group responsive"><div class="sub-figure" id="a"><object data="https://static-preview.hindawi.com/articles/wcmc/volume-2019/7803293/figures/7803293.fig.0017a.svgz" name="7803293.fig.0017a" type="image/svg+xml"></object><div class="fig-label"><b>(a) </b>Simplification rate</div></div><div class="sub-figure" id="b"><object data="https://static-preview.hindawi.com/articles/wcmc/volume-2019/7803293/figures/7803293.fig.0017b.svgz" name="7803293.fig.0017b" type="image/svg+xml"></object><div class="fig-label"><b>(b) </b>Running time</div></div><div class="sub-figure" id="c"><object data="https://static-preview.hindawi.com/articles/wcmc/volume-2019/7803293/figures/7803293.fig.0017c.svgz" name="7803293.fig.0017c" type="image/svg+xml"></object><div class="fig-label"><b>(c) </b>Trajectory partition error</div></div></figure>

<p>Comparisons of Different Trajectory Partition Algorithms (ten nodes).</p>

Wireless Communications and Mobile Computing

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Figure 17

Figure 17: A Trajectory Partition Method Based on Combined Movement Features 