Pattern Recognition Using Clustering Analysis to Support Transportation System Management, Operations, and Modeling

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/jat/volume-2019/1628417/figures/1628417.fig.0012a.svgz" name="1628417.fig.0012a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) Occupancy </b></td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/jat/volume-2019/1628417/figures/1628417.fig.0012b.svgz" name="1628417.fig.0012b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) Speed </b></td></tr></table>

<div>Variation of occupancy and speed within the clusters identified by the clustering methods for normal days.</div>

Journal of Advanced Transportation

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Figure 12

Figure 12: Pattern Recognition Using Clustering Analysis to Support Transportation System Management, Operations, and Modeling 