Signalized intersections are indispensable parts of urban traffic networks. In developing countries, there are many types of vehicles, which causes heterogenous traffic conditions. Lack of lane discipline, varying composition, and a variety of vehicle situations are all possible issues that get worse with time. For such a dynamic traffic situation, microsimulation modeling is appropriate. The traffic flow characteristics of a particular road are frequently used in traffic simulation research on signalized intersections. The methodology outlines a systematic process for optimizing traffic signals using VISSIM software, including data collection, calibration, and signal timing adjustments at the Iblur and Silkboard Junction, Bengaluru, Karnataka, India. Results show significant improvements in key performance metrics after optimizing signal timings, leading to reduced congestion and smoother traffic flow. The study underscores the significance of accurate data collection for developing and validating simulation models. The successful development and validation of a simulation model in VISSIM, along with efforts to enhance intersection performance through signal timing adjustments, have been achieved. Future research directions include expanding calibration efforts, incorporating real-time field data, and exploring adaptive signal control systems.