The present research aims to investigate the introduction of automation in transport by focusing on impacts of autonomous vehicles on traffic and taking into account the possible challenges. More specifically, the aim of this research is to define profiles of driving behavior, simulating the behavior of autonomous vehicles, which will try to cover all relevant levels of automation for different market penetration rates of connected and autonomous vehicles. In this context, the profiles will be investigated through a microscopic simulation process, while their identification will be carried out through the development of machine learning models. The results will prepare drivers and stakeholders in order to manage the introduction of automation in urban environments, using appropriate strategies.