Modeling and simulation play an important role in transportation networks analysis. With the
widespread of personalized real-time information sources, it is relevant for the simulation
model to be individual-centered. The agent-based simulation is the most promising
paradigm in this context. However, representing the movements of realistic numbers of
travelers within reasonable execution times requires significant computational resources. It
also requires relevant methods, architectures and algorithms that respect the characteristics …