Route choice relevance in complex urban network micro- simulation models

In dynamic models, like microsimulation, dynamic traffic assignment is based on the use of traffic conditions measured during the simulation process in order to keep o sort of equilibrium between demand and supply. Route choices are consequently done by knowing the traffic conditions of the day. This paper suggest another model, more realistic, based on an historical drivers knowledge obtained by an iterative process. This new model, splitting drivers in different knowledge categories, allows more relevant ATIS evaluation.