<![CDATA[Students' awareness of traffic discipline remains relatively low, as indicated by the high rate of violations and accidents among school-aged individuals. Conventional educational methods are considered less effective in engaging students in the digital era. The research problem focuses on how to develop a technology-based learning media that can enhance students’ understanding and engagement in traffic regulations. This study aims to develop and implement an Artificial Intelligence (AI)-based traffic education application that is interactive, adaptive, and user-friendly for high school students. This research employs the Research and Development (R&D) method, including stages of needs analysis, system design, mobile application development, AI implementation, and user testing. System evaluation was conducted involving 48 student respondents using a Likert-scale questionnaire covering interface, system security, and usability aspects. The results indicate that the application achieved a success rate of 86.00%, categorized as very successful. The usability aspect obtained the highest score of 88.50%, followed by interface (86.50%) and system security (83.00%). These findings demonstrate that the application effectively improves students’ understanding, enhances interactive learning experiences, and is easy to use. Therefore, the application is considered feasible as an AI-based educational tool to improve traffic safety literacy among high school students.]]>
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