Association Rule Mining for Driving Behaviors and Road Traffic Accidents in Kuwait.

Autor: AlMutairi, Atheer, AlKandari, Dana, Shummais, Loulwah, AlAjmi, Reem, Toma, Takeaki
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Zdroj: IEOM Annual International Conference Proceedings; Mar2021, p7550-7557, 8p
Abstrakt: One of the serious problems in Kuwait society is the Road Traffic Accident (RTCs). Our research objective is to find unknown association rules between RTAs and/or driving behaviors from our questionnaire data. An online questionnaire collected RTAs and driving behavior data (n=296). The Apriori algorithm found 1,733 rules, and each association rule was scrutinized. If pedestrians-involved traffic accidents occur, the probability of no experience in driving school was 2.98 times higher. If drivers had impaired vision problems (e.g., myopia), the probability of a pedestrians-involved accident was 2.04 times higher. These findings may indicate the importance of driving school experience and visual acuity test at driving license issuance in Kuwait. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index