Multitime Resolution Hierarchical Attention-Based Recurrent Highway Networks for Taxi Demand Prediction

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Method</td><td class="align_center">RMSE</td><td class="align_center">MAPE (%)</td><td class="align_center">MAE</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">HRHN_One</td><td class="align_center">50.47</td><td class="align_center">13.8</td><td class="align_center">33.95</td></tr><tr><td class="align_left">HRHN_Two</td><td class="align_center">44.62</td><td class="align_center">13.8</td><td class="align_center">30.94</td></tr><tr><td class="align_left">MTR-HRHN</td><td class="align_center">44.59</td><td class="align_center">13.8</td><td class="align_center">31.29</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparison of MTR-HRN with different time resolutions.</div>

Mathematical Problems in Engineering

tab3

Table 3

Table 3: Multitime Resolution Hierarchical Attention-Based Recurrent Highway Networks for Taxi Demand Prediction 