11th Annual International Conference on Industrial Engineering and Operations Management

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

Takeaki Toma, Atheer Almutairi, Dana AlKandari, Loulwah Shummais & Reem AlAjmi
Publisher: IEOM Society International
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Track: Undergraduate Student Paper Competition
Abstract

ne 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. RTAs and driving behavior data (n=296) were collected by an online questionnaire. The Apriori algorithm found 1,733 rules and each association rule was scrutinized. If pedestrians-involved traffic accidents occur, then the probability that drivers did not go to driving school was 2.98 times higher. If drivers had eye-related 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 as well as eye-check at driving license issuance in Kuwait.  

Keywords: Road traffic accidents, driving patterns, association rules.

Published in: 11th Annual International Conference on Industrial Engineering and Operations Management, Singapore, Singapore

Publisher: IEOM Society International
Date of Conference: March 7-11, 2021

ISBN: 978-1-7923-6124-1
ISSN/E-ISSN: 2169-8767