Purpose – This article presents the applications of Artificial Intelligence in the development of Intelligent Transport Systems. Methodology / approach – The methodology proposed in this article is based on the analysis of Artificial Intelligence algorithms for road traffic control and prediction. Image processing methods and polynomial prediction analyzes are applied, and their results contribute to the measurement of performance in road traffic prediction. Findings – Based on the measurements of the processes undertaken by the authors, a methodology - was applied within the Traffic Management Center in Bucharest, to increase traffic management. Research limitations / implications – The paper offers some concrete solutions obtained at a department level. These solutions based on a new approach to performance measures are developed in accordance with ITS requirements. Practical implications – The practical aspects approached by the authors are related to the identification of the most problematic obstacles encountered in the implementation of performance management in ITS using a new methodology based on Artificial Intelligence. Originality / value – The methodology based on the AI-oriented approach to classification and prediction can be implemented for measuring, evaluating and improving traffic using ITS strategies.