Development of a Decision Making Algorithm for Traffic Jams Reduction Applied to Intelligent Transportation Systems

<table class="table-group" id="tab7"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Criteria </td><td class="align_center"> 50th percentile </td><td class="align_center"> Percentage with respect to maximum</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Traffic flow (veh/h) </td><td class="align_center"> 750 </td><td class="align_center"> 750/5750 = 0,130</td></tr><tr><td class="align_left">Average speed (km/h) </td><td class="align_center"> 103 </td><td class="align_center"> 103/125 = 0,824</td></tr><tr><td class="align_left">Occupancy rate (%) </td><td class="align_center"> 1 </td><td class="align_center"> 1 − (1/43) = 0,977</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Average and percentage with respect to maximum for each criterion.

Journal of Sensors

tab7

Table 7

Table 7: Development of a Decision Making Algorithm for Traffic Jams Reduction Applied to Intelligent Transportation Systems 