This study proposes a simulation-based approach aimed at increasing the operational speed of public transport and reducing delays at signalized intersections. As study corridors, Amir Temur Street in Tashkent, where a dedicated bus lane is implemented, and Parkent Street, where buses operate in mixed traffic, were selected for a comparative corridor analysis. The corridors were compared using traffic-flow speed characteristics, vehicle-delay indicators, and queue-related parameters; however, the comparison should be interpreted as an indicative real-world corridor assessment rather than a fully controlled causal experiment. The field observations showed that the average bus delay at the studied intersection in mixed traffic was 242.3 s, whereas on the corridor with a dedicated bus lane it was 113.67 s, giving a difference of 128.63 s. To interpret these operating conditions analytically, a queue-based mathematical model was developed and implemented in the SUMO software environment for further simulation and analysis. The agreement between the model outputs and the field observations was additionally checked using Fisher’s criterion at the 99% confidence level. The proposed approach can be applied to evaluate congestion levels on major urban streets and to support the operational planning of public transport movement under different traffic conditions.