Discovering Public Transit Riders’ Travel Pattern from GPS Data: A Case Study in Harbin

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/js/volume-2017/5290795/figures/5290795.fig.004a.svgz" name="5290795.fig.004a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Origin clusters (boarding clusters)</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/js/volume-2017/5290795/figures/5290795.fig.004b.svgz" name="5290795.fig.004b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Destination clusters (dropping off clusters)</td></tr></table>

<div>Origin and destination clusters results.</div>

Journal of Sensors

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Figure 4

Figure 4: Discovering Public Transit Riders’ Travel Pattern from GPS Data: A Case Study in Harbin 