Traffic modeling refers to the process of simulating and analyzing traffic flow and the interactions between vehicles on road networks. It involves the use of various car-following models to predict driving behavior and understand how drivers react in different traffic conditions. These models are essential for studying mobility patterns, especially in complex environments like shared spaces, where interactions between vehicles, pedestrians, and cyclists are more intricate. With the rise of autonomous vehicles, traffic modeling is evolving to account for these new agents and their impact on traffic dynamics. The goal is to create accurate simulations that help optimize traffic management and improve road safety.