Problems of Analyst Competency Formation for Modern Transport Systems

Abstract

Intelligent information and analytical basis of a modern transport system is a prerequisite for efficient functioning of the digital economy. Modern transport systems are based on new intelligent technologies and new organizational principles, which is why the functions and competences of specialists in transportation are changing very rapidly. This paper substantiates the need and reveals the content of new competencies of specialists for modern transport systems, which should be ready to take into account many different factors, process large amounts of information and solve multi-criteria tasks in transport companies for all management functions. Creation of digital analytical competency for transportation systems represents a new direction of the educational and training programs that must include courses in modern assessment and forecasting methods, big data operation, machine learning, neuron networks and other approaches in artificial intelligence area. This article describes a new approach to the teaching of transportation system analysts that is able to solve various types of tasks to implement Industry 4.0 elements in transportation as examples.