Abstract—Recently, with the rise in the use of shared electric scooters, illegal operation of Personal Mobility (PM) is becoming a social issue. To address these issues, some local governments are implementing various measures, such as amending the Road Traffic Act to enhance traffic safety. However, most current crackdown methods rely on citizen reports, and their efficiency needs to be improved. This study focused on systematically managing and resolving the issue of illegal driving of shared electric scooters through the utilization of Artificial Intelligence (AI) technology. To this end, we developed an illegal driving detection system using You Only Look Once version 5 (YOLOv5) image recognition technology. This system detects electric scooters being illegally driven in real-time and determines the fine for the violation. Therefore, the developed system is expected to provide useful information to relevant organizations for efficiently managing and resolving the issue of illegal driving of shared electric scooters.
 
Keywords—Artificial Intelligence (AI), You Only Look Once version 5 (YOLOv5), Personal Mobility (PM), Automated Fare Collection (AFC), electric scooters


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