INFORMATION AND ANALYTICAL ASSESSMENT OF ACCIDENT RISK IN ROAD TRAFFIC

This article presents the findings of a study on the information and analytical assessment of road traffic accident risks in the Republic of Uzbekistan. The research employed a comprehensive approach to examine road accidents from multiple perspectives and incorporate the viewpoints of all relevant stakeholders. The methodology combined both qualitative and quantitative analyses. Special emphasis was placed on developing recommendations to reduce risks associated with human factors, vehicle condition, road infrastructure, and environmental influences. The application of the Smeed method helped establish the correlation between social and transport risks, shedding light on the current traffic situation that required particular attention. The Q-Cochran method was used to organize drivers' opinions, revealing the subjective aspects of risk perception, such as dangerous driving maneuvers, speeding, and poor visibility on the roads. The Analytical Hierarchy Process (AHP), based on expert evaluation, helped identify priority areas for improving road safety. The analysis identified critical factors, including the quality of road surfaces, the presence of clear markings and signage, and the adequacy of lighting in high-traffic areas. Proposed measures include the installation of additional passive safety features, the creation of pedestrian crossings with warning systems, and the introduction of intelligent traffic management technologies. Overall, the study's findings provide a solid foundation for developing an effective strategy to reduce road accidents. The suggested measures include enhancing driver education, upgrading road infrastructure, integrating innovative technologies in traffic management, and strengthening enforcement of traffic laws.