A Clustering Approach to Identify High-Risk Taxi Drivers Based on Self-Reported Driving Behavior

<table class="table-group" id="tab8"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Cluster</td><td class="align_center"><i>N</i> of drivers</td><td class="align_center"><i>N</i> of correct predictions</td><td class="align_center">% of correct predictions</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">High-risk drivers</td><td class="align_center">64</td><td class="align_center">39</td><td class="align_center">60.9</td></tr><tr><td class="align_left">Low/medium-risk drivers</td><td class="align_center">484</td><td class="align_center">461</td><td class="align_center">95.2</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The correctness ratio of the first model.</div>

Journal of Advanced Transportation

tab8

Table 8

Table 8: A Clustering Approach to Identify High-Risk Taxi Drivers Based on Self-Reported Driving Behavior 