India has one of the largest road networks in the world with heterogeneous traffic conditions. The existing road infrastructure is highly inadequate for ensuring faster and safer movement. The current study focuses on one of the main challenging issues, i.e., traffic congestion at a major road stretch, viz., Subhash Road, of Kolhapur city in India. The infrastructural developments require a huge investment and impact can only be determined after their actual implementation on the site. This study aims to tackle the issue of traffic congestion by utilizing emerging advanced simulation modeling techniques. This paper seeks to adopt a microscopic simulation modeling approach using VISSIM and simulating vehicles in great detail for the Subhash Road to replicate real-world traffic situations. Coordinating the three uncoordinated isolated signals and providing suggestions for improvements is the main motivation for this investigation. The simulation model was calibrated based on statistical measures such as GEH statistics and was further validated for a separate set of traffic volumes collected through video-graphic data to verify the accuracy of model. In the present study, the implementation of signal coordination and widening of roads resulted in a considerable reduction in the delay and travel time for developing cities.