Traffic Sensing Methodology Combining Influence Line Theory and Computer Vision Techniques for Girder Bridges

<figure class="figure-group responsive"><div class="sub-figure" id="a"><object data="https://static.hindawi.com/articles/js/volume-2019/3409525/figures/3409525.fig.004a.svgz" name="3409525.fig.004a" type="image/svg+xml"></object><div class="fig-label">(a) Diagram of field calibration tests</div></div><div class="sub-figure" id="b"><object data="https://static.hindawi.com/articles/js/volume-2019/3409525/figures/3409525.fig.004b.svgz" name="3409525.fig.004b" type="image/svg+xml"></object><div class="fig-label">(b) Strain time history collected in tests</div></div><div class="sub-figure" id="c"><object data="https://static.hindawi.com/articles/js/volume-2019/3409525/figures/3409525.fig.004c.svgz" name="3409525.fig.004c" type="image/svg+xml"></object><div class="fig-label">(c) Calibrated influence line of the chosen section</div></div></figure>

<p>Procedure of the influence line calibration.</p>

Journal of Sensors

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Figure 4

Figure 4: Traffic Sensing Methodology Combining Influence Line Theory and Computer Vision Techniques for Girder Bridges 