GAME THEORY IN DECISION MANAGEMENT

Purpose - This article presents the applications of game theory in management decision making. Methodology / approach - The methodology proposed in this article is based on the use of game theory for control and decision making in economics. Predictive methods are applied for urban transport planning, and their results contribute to measuring decision-making performance. Findings - Based on the experiments performed by the authors, an application on traffic prediction was developed and tested within the Department of Intelligent Transport Systems of UPB, for the planning of urban passenger transport. Research limitations / implications - The paper offers a concrete solution obtained at the department level. This solution based on the implementation of the game matrix is a new approach to urban transport planning in accordance with ITS requirements. Practical implications - The practical aspects approached by the authors are related to the identification of the best balance matrices with intelligent agents for the implementation of urban transport planning management, using a new methodology based on game theory. Originality / value - The methodology based on the algorithm-oriented approach of game theory for predicting urban traffic planning can be implemented for measuring, evaluating, and improving traffic using ITS strategies