Mathematical Model and Simulation-Based Analysis of Traffic Flow Optimization at Intersections in Gulistan City

Abstract

This article examines the analysis and optimization of traffic flow at the intersection of Uzbekistan Street and Saykhun Street in Gulistan City. The current operating conditions of the intersection were modeled at a microscopic level using the PTV VISSIM software. Key performance indicators, including Level of Service (LOS), average delay, queue length, number of stops, and environmental parameters, were quantitatively evaluated. The optimal traffic signal cycle was determined using the Webster formula, and three scenarios—the existing condition, the first proposal based on the Webster model, and the second proposal involving an optimized model with the elimination of turning movements—were comparatively analyzed. The results indicate that the proposed optimized model significantly improved intersection performance. The average delay was reduced from 73.58 seconds to 20.79 seconds (a reduction of 71.7%), the average queue length decreased from 50.17 m to 20.21 m (a reduction of 59.7%), and fuel consumption was reduced from 643 liters to 442 liters (a reduction of 31.3%). In addition, the Level of Service improved from category E to category C. The findings confirm the necessity of applying scientifically grounded approaches to the planning and management of traffic operations at urban intersections.