Methodological approach to digitalization of management processes in automobile and road complex

Abstract

In order to successfully accomplish the tasks of digitalizing control processes in the road complex integrated into a focused process, new generations of control systems — intelligent control systems – are being actively developed today. Intelligent control systems should be able to independently develop a goal, implement the decision-making process for an action, provide the necessary set of functions to achieve a goal, predict the values of system indicators as a result of actions and compare them with real data, providing feedback in the system and adjusting the control procedure. Currently, the methodological basis for making management decisions in control systems is the concept of scenarios based on the theory of expert assessments. The main disadvantage of this approach is the inability of the system to gradually adapt to changes in input information without completely reworking the structure of the initial requirements. For effective implementation of this task, it is necessary to develop a decision-making methodology in control systems based on formal logical methods of decision theory, namely, analytical methods for obtaining many effective plans, which should allow us to build algorithms that provide optimal solutions when implementing applied management tasks while having minimal information about the conditions of the research object.