Accident Diagnosis and Evaluation System in Parking Lots Using Multisource Data Based on Bayesian Networks

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Ranking</td><td class="align_center">Variable sequences</td><td class="align_center">Expectation (USD)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">1</td><td class="align_center">Maximum speed limit ≤ 30 mph ⟶ slowing/stopped/stalled</td><td class="align_center">1643.50</td></tr><tr><td class="align_left">2</td><td class="align_center">Maximum speed limit ≤ 40 mph ⟶ making left turn</td><td class="align_center">1527.00</td></tr><tr><td class="align_left">3</td><td class="align_center">Bypass ⟶ large urbanized ⟶ high-density residential ⟶ 18:00–24:00 ⟶ dark (street light)</td><td class="align_center">1479.00</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Factor combination sequence result for property damage.</div>

Journal of Advanced Transportation

tab5

Table 5

Table 5: Accident Diagnosis and Evaluation System in Parking Lots Using Multisource Data Based on Bayesian Networks 