A Noise-Immune Boosting Framework for Short-Term Traffic Flow Forecasting

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left"> </td><td class="align_center">Nonwavlet</td><td class="align_center">Haar</td><td class="align_center">db4</td><td class="align_center">sym4</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">MAPE (%)</td><td class="align_center">11.71</td><td class="align_center">6.81</td><td class="align_center">5.64</td><td class="align_center">5.88</td></tr><tr><td class="align_left">RMSE (vehs/h)</td><td class="align_center">287.93</td><td class="align_center">209.06</td><td class="align_center">157.11</td><td class="align_center">176.05</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The performances of different mother wavelets.</div>

Complexity

tab3

Table 3

Table 3: A Noise-Immune Boosting Framework for Short-Term Traffic Flow Forecasting 