In this talk we present a computational study of a novel microscopic follow-the-leader model for traffic flow on road networks. In this model, each driver has a specific origin and destination, with the goal of minimizing their travel time. We assume that drivers make rational decisions at junctions and can dynamically adjust their routes based on traffic conditions. A key innovation of the model is the ability of vehicles to automatically and anonymously exchange information about their position, destination, and planned path when within a certain communication radius. This shared information is used by drivers to continuously optimize their routes during the journey. In the case of an infinite communication range, the system converges to the classical Reactive User Equilibrium (RUE) and Dynamic User Equilibrium (DUE) frameworks.