This project employs the techniques of network science to investigate and discern the underlying patterns of traffic flow in Istanbul, one of the world’s busiest cities. Using the data collected by the Istanbul Metropolitan Municipality, we seek to identify and analyze the major traffic nodes and intersections that exert a significant influence on the city’s overall traffic dynamics. The objective of our research is to understand the complex and interrelated systems that contribute to the unique traffic behavior of Istanbul and identify critical points of congestion. With a network science approach, we propose a model that incorporates spatial correlation and linear diffusion across different locations, drawing on various traffic parameters. The results from this investigation include an identification of the key locations on overall traffic flow and a better understanding of traffic pattern variations. The insights from this research will not only address Istanbul’s traffic congestion issues but will also enrich the broader field of urban traffic systems, aiding strategic transportation planning in other metropolitan cities grappling with similar challenges.