Currently, the automotive industry has been adopting new validation methods for its processes during the development and test phases of new technologies. As part of this, the intention of reducing time and costs of physical tests, achieving the reduction of material and human risks. However, this leads to new challenges and problems such as human interaction of the tested technologies. One of these methods consists on the development and validation of new systems using computer simulations due to the high capacity of computer processors, being able to recreate virtually physical measurements of the environment. Nowadays it is used to predict the behavior, reliability and durability of materials, systems, com-ponents, etc. In other hand, the reproduction of realistic traffic in computer simulations remains a major challenge. In this paper we address the driver behavior modeling, a brief description of the use of road safety reports, in order to identify the different objective factors (weather, road condition, driving time…) and subjective factors (fatigue, stress...) that directly or indirectly affect the driver’s behavior. Then, integrate them to build a model with a modular and flexible architecture using a fuzzy logic approach, which will be able to reproduce the behavior of an average driver considering the influence of several factors. Thus, the model will allow to generate a more realistic and natural traffic in numerical simulations. The proposed model was validated in simulation using SCANeR Studio software and the results obtained showed the effectiveness of the proposed model to represent the influence of the characteristics of the driver profile.