TRAFFIC SAFETY ENHANCEMENT USING INTELLIGENT TRANSPORT SYSTEMS IN KARSHI CITY

Abstract

Traffic safety remains a critical challenge in urban areas due to increasing traffic volumes and complex traffic conditions. This study investigates the potential of Intelligent Transport Systems to enhance traffic safety through improved speed management, real-time traffic monitoring, and data-driven traffic control strategies. The research focuses on the analysis of vehicle speed characteristics and traffic behavior using field observations and analytical methods. Spot speed data were collected and evaluated to identify speed variations that may contribute to increased accident risk. The findings indicate that Intelligent Transport Systems can significantly improve traffic safety by supporting adaptive traffic management, timely incident detection, and informed decision-making. The study highlights the importance of integrating intelligent technologies into urban transport systems to reduce accident risk, improve traffic efficiency, and support sustainable urban mobility planning.