Abstract
Transport “management and behavior” modeling takes place in developed societies because of the benefit that it brings for all social and economic processes. Using in this field, advanced computer science techniques like Artificial Intelligence is really relevant from the scientific, economic and social point of view. This paper deals with Fuzzy Cognitive Maps as an approach in representing the behavior and operation of such complex systems. Two steps are presented, an initial modeling trough Automatic Knowledge “Engineering and Formalizing”; and secondly, using readjustment of parameters with an inspired on Particle Swarm Optimization learning method. The theoretical results come from necessities in a real case study that is also presented, showing then the practical approach of the proposal, where new issues were obtained but also real problems were solved.