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This research presents a bibliometric analysis focusing on practical applications of computer vision in transportation systems. The study offers a nuanced understanding of the topic, emphasizing its relevance to areas such as traffic surveillance, management, and road safety. By synthesizing insights from various studies, the analysis provides a comprehensive overview that serves as a valuable foundation for informed decision-making by policymakers and practitioners. The discussion not only highlights current applications but also identifies gaps and limitations in the existing literature. Furthermore, the study offers future directions for the integration of computer vision technologies into diverse transportation scenarios and suggests innovative ideas to overcome current limitations.