Modeling and Analysis for Stability and Reliability in Railway Systems

A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Systems Engineering".

Deadline for manuscript submissions: 30 June 2026 | Viewed by 4

Special Issue Editors


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Guest Editor
Department of Railway Transport, Faculty of Transport and Traffic Engineering, University of Zagreb, 10000 Zagreb, Croatia
Interests: train traction; rolling stock; rolling stock maintenance; urban rail systems; ropeway systems; innovative self-propelled freight wagons
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Guest Editor
Faculty of Transport and Traffic Sciences, University of Zagreb, Vukelićeva 4, 10000 Zagreb, Croatia
Interests: railway; level-crossings; urban rail transport; ropeway systems; high-speed rail

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Guest Editor
Electrical Power Engineering Institute, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland
Interests: modeling and simulation of power supply systems and vehicles; energy management and efficiency; energy quality; compatibility in electrified transport systems
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Special Issue Information

Dear Colleagues,

Railway systems form the backbone of modern transportation and logistics, yet they face persistent challenges from increasing operational complexity, ageing infrastructure, and the high demand for service continuity. Ensuring stability (from train dynamics to network operations) and reliability (of components, subsystems, and the entire network) is paramount.

Addressing these interconnected challenges requires a holistic, system-thinking approach. Advanced modelling, data-driven analysis and predictive simulation are no longer optional but essential tools for understanding complex failure mechanisms, predicting system behaviour under stress, and optimising maintenance and control strategies.

This Special Issue aims to attract high-quality, original research articles that present the latest advancements in the modelling and analysis of railway systems, with a specific focus on enhancing stability and reliability. We invite contributions that explore novel methodologies, advanced simulation techniques, data-driven approaches, and practical case studies that offer new insights into the design and management of robust, resilient, and efficient railway systems.

Prof. Dr. Mladen Nikšić
Dr. Martin Starčević
Prof. Dr. Adam Szeląg
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Systems is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • railway systems
  • system reliability
  • system stability
  • modelling and simulation of railway traffic
  • railway dynamics
  • RAMS (reliability, availability, maintainability, safety)
  • fault diagnosis and prognosis
  • railway traffic management
  • predictive maintenance
  • system-level analysis

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Published Papers

This special issue is now open for submission.
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