The research explores the intersection density of streets in Karshi by leveraging OpenStreetMap road network data. It introduces a novel approach utilizing open city data to delineate city limits for Karshi, followed by the extraction of road network data from OpenStreetMap specifically tailored for Uzbekistan. The authors examine the impact of intersection densities on traffic safety, presenting insights from thorough analyses. The methodology includes a demonstration of how intersections and their respective density levels within a designated urban area can be visually represented using the QGIS program. Additionally, the research determines a risk coefficient by integrating statistical data pertinent to traffic dynamics within the city of Karshi. By utilizing these methodologies, the research illuminates the complex relationship between intersection densities and their impact on traffic safety parameters. It emphasizes the importance of these densities in comprehending and potentially reducing traffic risks in urban areas. Moreover, the visualization techniques showcased through the QGIS program serve as a valuable tool for depicting and analyzing intersection patterns within specific city areas. Ultimately, this study contributes to the broader discourse on traffic safety and urban planning by offering empirical insights into the relationship between intersection densities and associated risk factors. The findings and methodologies presented in this research are relevant for urban planners, transportation authorities, and policymakers aiming to improve traffic safety measures and optimize urban road networks.