application of artificial intelligence in reducing traffic accidents in adolescents: a narrative study

Background and objective: the increase in traffic accidents among adolescents—a group particularly vulnerable due to inexperience and risky behaviors—is a significant societal problem. this review study investigates the use of artificial intelligence (ai) as a potential solution to mitigate traffic accidents in this demographic. methods: this study employed a mixed-methods approach, utilizing both qualitative and quantitative research methods to examine existing literature on the application of ai in reducing traffic accidents. a systematic search was conducted across several reputable academic databases, including pubmed, google scholar, isi, and scopus, to identify and analyze relevant articles and studies. findings: the findings of this study demonstrate that ai can effectively reduce traffic accidents among adolescents through multiple applications. by analyzing traffic and behavioral data, ai algorithms can accurately identify dangerous patterns and provide early warnings. furthermore, ai-based educational programs can teach young drivers essential safe driving skills and enhance their awareness of road hazards. finally, intelligent traffic monitoring and control systems improve overall traffic management and help to reduce traffic violations. conclusion: ai, as a new and powerful tool, has great potential in reducing traffic accidents in teenagers. ai technologies can help improve road safety, educate and raise awareness among teenagers, and improve traffic monitoring and control systems. further research is recommended to fully explore the potential of ai in this field. also, a broader adoption of ai technologies in traffic management and control is suggested to maximize their effectiveness.