Multi-Agent Architecture for Intelligent Rolling Stock Diagnostics: Concept and Prototyping

Anatoly Baranovsky; Daniil Bobrikov

doi:10.20295/2413-2527-2025-343-25-32

UDC

004.051

VAK Russia

2.9.8

MULTI-AGENT ARCHITECTURE FOR INTELLIGENT ROLLING STOCK DIAGNOSTICS: CONCEPT AND PROTOTYPING Multi-Agent Architecture for Intelligent Rolling Stock Diagnostics: Concept and Prototyping

АА Аа

Published in Intellectual Technologies on Transport · Pages 25–32 · Rubric: ARTIFICIAL INTELLIGENCE AND TRANSPORT SYSTEMS

DOI: https://doi.org/10.20295/2413-2527-2025-343-25-32 · EDN: UEUHQE

Received: 09.06.2025 Accepted: 09.08.2025 Published: 25.09.2025

Authors

Anatoly Baranovsky

Daniil Bobrikov

Anatoly Baranovsky

Academic degree: candidate of technical sciences

Emperor Alexander I St. Petersburg State Transport University Associate Professor · Information and Computing System Department · Russian Federation · St. Petersburg

Daniil Bobrikov

Emperor Alexander I St. Petersburg State Transport University Information and Computing System Department · Russian Federation · St. Petersburg

ABSTRACT

The paper considers the development of an intelligent diagnostics and recovery system for rolling stock information management system operability, based on a multi-agent architecture. Introduction: the growing complexity of rolling stock information management systems (IMS) demands for greater reliability and more advanced intelligent diagnostic and recovery systems. Traditional centralized methods can become inefficient under certain conditions. Purpose: to develop the concept of an intelligent system for diagnosing and restoring the operability of rolling stock IMS. This system is based on a multi-agent architecture that can be implemented in existing transport infrastructure. Methods: the proposed approach involves the implementation of a specialized task allocation system, wherein each agent within the system is assigned a specific task. These tasks encompass the collection of telemetric information, the analysis and filtration of data, the formation of diagnostic indicators, and the undertaking of decisions concerning the technical condition of the system. The system’s architecture facilitates multi-level organization and interaction protocols between the agents. Results: the development of an architectural model and a prototype concept has been undertaken for the purpose of demonstrating the functionality of a distributed intelligent system. The presentation has focused on the key components, interaction interface, and hardware and software implementations. Practical significance: the developed approach has the potential to enhance the stability and autonomy of transport systems in real operating conditions. Discussion: the potential for scaling the prototype and integrating it into existing IMS is a subject of discussion.

KEYWORDS

multi-agent systems, neural network technologies, transport, information management systems, automation

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Baranovsky A. M., Bobrikov D. A. Multi-Agent Architecture for Intelligent Rolling Stock Diagnostics: Concept and Prototyping // Intellectual Technologies on Transport. 2025. no. 3. pp. 25-32. DOI: https://doi.org/10.20295/2413-2527-2025-343-25-32. EDN: UEUHQE. (Date of access 07.09.2026).

MLA

Anatoly Baranovsky, Bobrikov D. A.. "Multi-Agent Architecture for Intelligent Rolling Stock Diagnostics: Concept and Prototyping." Intellectual Technologies on Transport.3 (2025): 25-32. DOI: https://doi.org/10.20295/2413-2527-2025-343-25-32. EDN: UEUHQE.

APA

Baranovsky A. M., Bobrikov D. A. (2025). Multi-Agent Architecture for Intelligent Rolling Stock Diagnostics: Concept and Prototyping. Intellectual Technologies on Transport(3), 25-32. https://doi.org/10.20295/2413-2527-2025-343-25-32 EDN: UEUHQE.

Chicago

Anatoly Baranovsky, Bobrikov D. A.. "Multi-Agent Architecture for Intelligent Rolling Stock Diagnostics: Concept and Prototyping." Intellectual Technologies on Transport, no. 3 (2025): 25-32. https://doi.org/10.20295/2413-2527-2025-343-25-32. EDN: UEUHQE.

WIKI

{{cite journal | author = Baranovsky A. M., Bobrikov D. A. | title = Multi-Agent Architecture for Intelligent Rolling Stock Diagnostics: Concept and Prototyping | journal = Intellectual Technologies on Transport | year = 2025 | issue = 3 | pages = 25-32 | doi = 10.20295/2413-2527-2025-343-25-32 }} EDN: UEUHQE

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MULTI-AGENT ARCHITECTURE FOR INTELLIGENT ROLLING STOCK DIAGNOSTICS: CONCEPT AND PROTOTYPING Multi-Agent Architecture for Intelligent Rolling Stock Diagnostics: Concept and Prototyping

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