INTELLIGENT TRAFFIC CONTROL IN ITS SYSTEMS

Abstract

The progress in communication, computer and information sources technologies supplemented by new DSS (Decision Support Systems) tools giving new until now inaccessible information / knowledge about real traffic situations [4-6,19]. It opened up new horizons and opportunities for development of professional ITS (Intelligent Integrated Transportation Systems) systems offering much more advanced intelligent management, supervision and control system-wide actions. Such systems offer great deal of real-time responsiveness, high operational flexibility/ intelligence that may eliminate the weak points of the classical transportation systems and the need for human operator’s interventions. It is obvious that the efficiency of advanced control logic ( in intelligent control in particular) depends on the quality of real-time information and knowledge feedback used to recognize the multi-criteria dedicated control problem specifications and adequate solutions. In this context the intelligent recognition, analysis, diagnosis and prediction of traffic situations appears to be the most important prerequisite in implementing the sophisticated control concepts removing the existing weak points of classical transportation systems. [1-5, 11-12, 18-22].