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.

The Economic Assessment of The Solution to the Multi-Criteria Problem for Determining Heavy Vehicles Usage Efficiency

“…The disadvantage of these approaches lies in linking the solution of the problem of choosing rolling stock to the assessment of equipment at the time of delivery without taking into account the inevitable change in its characteristics and performance indicators during operation and the absence of an assessment of the efficiency of its use. In the work devoted to the issue of assessing the competitiveness of passenger vehicles [4], based on the elaboration of methods for assessing vehicles [5][6][7][8], developed a differential method for multi-criteria assessment of vehicles, applicable for use in the current uncertainty of environmental conditions.…”

Methods of systemic management of the service life of vehicles

“…When managing the service life of cars, it is important to make a high-quality account of all factors that have a direct impact on this process. Evaluation of the efficiency of vehicle operation by means of various methods for a number of properties is the object of research, considered in a large number of works [1][2][3][4][5].…”

Zoning methodology for estimating the service life of the vehicle

“…Multi-criteria in assessing the service life of a car is a direct consequence of the incompleteness of information about the situation, determined by a set of factors that must be considered when making decisions in the complex of technical operation of vehicles (TOV). It is because of the lack of sufficiently complete and reliable information necessary for making reliable decisions on maintenance and repair throughout the entire life of the vehicle, it is impossible to unambiguously determine the nature of the operations carried out, which gives rise to the need to develop an analytical apparatus that optimizes the decision made according to several performance indicators, considering possible changes in the operating conditions of the vehicle [1][2][3]. Based on various options for decision-making methods in conditions of uncertainty and methods for solving multi-criteria problems, it is possible to formulate a comprehensive method for removing uncertainty when solving multi-criteria problems, which makes it possible to increase the reliability of decisions made in information situations typical for a vehicle service life management system (VSLMS).…”