Problems of analyst competency formation for modern transport systems

• Autorzy: Lyapina Svetlana , Tаrasova Valentina , Fedotova Marina

Identyfikatory

DOI

10.21307/tp-2020-021

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

digital competences; analytical competences; analytical system for transportation; intelligent information technologies; specialist in transport analysis

PL

kompetencje cyfrowe; kompetencje analityczne; system analityczny dla transportu; inteligentne technologie informacyjne; specjalista ds. analiz transportowych

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Transport Problems
• Rocznik: 2020
• Tom: T. 15, z. 2
• Strony: 71--82
• Opis fizyczny: Bibliogr. 22 poz.

Twórcy

autor

Lyapina Svetlana

• National Research University “Higher School of Economics”, Myasnitskaya 20, 100000 Moscow, Russia

autor

Tаrasova Valentina

• Russian University of Transport (MIIT), Obraztsova 9, 127994 Moscow, Russia

autor

Fedotova Marina

• Moscow Aviation Institute (National Research University), Volokolamskoe shosse, 4, 125993 Moscow

Bibliografia

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Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).