186 APPLICATION OF ARTIFICIAL INTELLIGENCE SYSTEMS IN THE MANAGEMENT OF INTELLIGENT TRANSPORT SYSTEMS Author(s)*: Ionuț-Cosmin CHIVA 1 , Cătălin DUMITRESCU 2 , Marius MINEA 3 , Augustin SEMENESCU 4 * Position: Ph.D. Student 1 , Lecturer Ph.D. 2 , Prof. Ph.D. 3 , Prof. Ph.D. 4 University: University Politehnica of Bucharest, Bucharest, Address: 313 Splaiul Independenței,060042, RO *Academy of Romanian Scientists, 3 Ilfov, 050044, Bucharest, RO Email: Ionut-Cosmin.CHIVA@fiir.pub.ro 1 , catalin.dumitrescu@upb.ro 2 , marius.minea@upb.ro 3 , augustin.semenescu@upb.ro 4 Webpage: http://www.upb.ro, http://www.aosr.ro/en/ Abstract 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. Key words: artificial intelligence system, expert system, intelligent management model. Introduction We live in such a complex world, in which human reason can hardly respond to the challenges posed by the rapid and permanent changes that are taking place in the economy. In the context of the knowledge-based economy, the use of information systems determines not only the development of companies, but also, in many cases, their survival, which depends on making the right decisions at the right time. For these reasons, artificial intelligence is increasingly present in economic activity and for Intelligent Transport Systems (ITS). Conceptual approaches to artificial intelligence The term "artificial intelligence" was introduced by John McCarthy in 1956, being defined as "the science and engineering of producing intelligent machines." Artificial Intelligence is a vast field that deals with the use of computers to solve problems / tasks that require human intelligence. It is known that there are many problems that require intelligence, but that can be solved very easily with the help of a computer, for example complex arithmetic. On the other hand, there are a few problems that people can easily solve without much thought, such as facial recognition, but which are extremely difficult to automate. Artificial intelligence deals with solving such difficult tasks, which require a complex and