A Microscopic Traffic Flow Model on Network with Destination-Aware V2V Communications and Rational Decision-Making

In this paper, we carry out a computational study of a novel microscopic follow-the-leader model for traffic flow on road networks. We assume that each driver has his or her own origin and destination, and wants to complete his or her journey in the minimal time. We also assume that each driver is able to take rational decisions at junctions and can change the route while moving depending on the traffic conditions. The main novelty of the model is that vehicles can automatically and anonymously share information about their position, destination, and planned path when they are close to each other within a certain distance. The pieces of information acquired during the journey are used to optimize the route itself. In the limit case of an infinite communication range, we recover the classical Reactive User Equilibrium (RUE) and Dynamic User Equilibrium (DUE).