2026, Vol. 13, No. 1. - go to content...

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DOI: 10.15862/22SATS126 (https://doi.org/10.15862/22SATS126)

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Petrochenko M.V. Information and analytical model for identifying the condition of transport facilities using artificial intelligence systems. Russian Journal of Transport Engineering. 2026; 13(1). Available at: https://t-s.today/PDF/22SATS126.pdf (in Russian). DOI: 10.15862/22SATS126

Information and analytical model for identifying the condition of transport facilities using artificial intelligence systems

Petrochenko Marina Vyacheslavovna
Peter the Great Saint Petersburg Polytechnic University, Saint Petersburg, Russia
E-mail: petrochenko_mv@spbstu.ru
ORCID: https://orcid.org/0000-0002-4865-5319
RSCI: https://elibrary.ru/author_profile.asp?id=589472

Abstract. The problem of increasing durability, safety of operation, as well as the quality of maintenance of transport facilities is becoming increasingly relevant. According to statistics, the number of accidents and destruction of bridge structures on highways has increased in recent decades. The effectiveness of solving this problem largely depends on the quality of monitoring, which makes it possible to ensure the safe operation of a transport facility and prevent emergencies. The article is devoted to the development of an information and analytical model for identifying the technical condition of transport facilities, created to select solutions for timely repair and restoration work in order to improve the safety of operation of transport construction facilities. The general structure, algorithm and principles of application of the information and analytical model for identifying the condition of transport structures are considered on the example of highway bridges, the condition of the structural elements of which varies over time and can reach a critical level to ensure traffic safety. The essence of the model is that it is based on the use of artificial intelligence technologies that make it possible to form a real information and taxonomic image of the technical condition of a transport facility and offer technical solutions to prevent emergencies. To build the intellectual framework of the information and analytical model, the author applies the methods of taxonomic analysis and mathematical programming. The model is based on the possibility of identifying controlled parameters in real time by automatic means of technical diagnostics, comparing the actual parameters of the bridge structure with the normative ones; comparing the current state of the transport structure with a mathematically formalized finite set of identifiable states; optimizing the choice of effective technical and technological solutions for performing repair and restoration work from the generated database. The proposed information and analytical model will make it possible to identify defects in structural elements in a timely manner, minimize the risk of an emergency, justify the list of restoration work, and ensure the safe operation of transport facilities.

Keywords: artificial intelligence; identification; transport structure; bridge structure; technical condition; technical means of automatic control; taxonomic analysis

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