Identification of Accident Blackspots on Rural Roads Using Grid Clustering and Principal Component Clustering

<table class="fixed-width table-group" id="tab4"><tr><td><table class="table"><colgroup><col style="width:21.34em"/><col style="width:13.51em"/></colgroup><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left"><b>Risk levels</b></td><td class="align_center"><b>Road units</b></td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left"><b>Black spots in the accident/ road safety hazards</b></td><td class="align_center">23, 9, 6, 25, 17, 7, 20</td></tr><tr><td class="align_left" colspan="2"><hr/></td></tr><tr><td class="align_left"><b>Potential accident black spots/ road safety conditions in general</b></td><td class="align_center">12, 16, 14, 15, 52, 22, 40, 19, 35, 1</td></tr><tr><td class="align_left" colspan="2"><hr/></td></tr><tr><td class="align_left"><b>Nonaccident black spots/road safety conditions</b></td><td class="align_center">Other road units</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Accident black spot identification results.</div>

Mathematical Problems in Engineering

tab4

Table 4

Table 4: Identification of Accident Blackspots on Rural Roads Using Grid Clustering and Principal Component Clustering 