Information and Intelligent Models in the Management of Transport and Logistics Systems

Abstract

The analysis of the development of technologies in the railway industry, the application of transport processes, the use of its resources, shows a positive correlation with the development and improvement of information technologies. This is explained by the constantly increasing knowledge-intensive nature of the transport system, the acceleration of scientific and technological progress in the field of industrial, information and digital technologies, the creation of electronic methods for obtaining, processing, accounting, storing and using information data. The paper considers the intellectualization of transport and logistics system management by creating information-intelligent models for collecting, processing, analyzing, ranking, accumulating, storing the necessary information and providing a favorable environment for searching, viewing, visualizing data, comparing possible solutions to problematic issues and choosing the best one based on accumulated knowledge, experience and available resource opportunities. The paper presents a conceptual model of transport and logistics system management, as well as a methodology for forming ontologies. This technique is necessary to reflect the problem areas of the implementation of transport and production processes (sub-processes). The methodology of ontology formation was used in the creation of information and intelligent models of transport and logistics system management.