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Current Advances in Railway and Transportation Technology
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Current Advances in Railway and Transportation Technology

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".

Deadline for manuscript submissions: 10 March 2025 | Viewed by 1813

Special Issue Editors

Dr. Juraj Čamaj

E-Mail Website
Guest Editor
Faculty of Operation and Economics of Transport and Communications, University of Zilina, 010 26 Zilina, Slovakia
Interests: railway network; transport technology
Dr. Vladislav Zitricky

E-Mail Website
Guest Editor
Faculty of Operation and Economics of Transport and Communications, University of Zilina, 010 26 Zilina, Slovakia
Interests: railway transportation; the resilience of transport chains

Special Issue Information

Dear Colleagues,

This Special Issue focuses on the latest developments in the rail transport sector. The implementation of innovative systems in the field of transport engineering and transport technologies is one of the most important components of multimodal transport systems and their use in the development of transport chains. The planning and subsequent concrete operational design of applied technologies must be aimed at ensuring the sustainable development of rail transport to improve the addressability of environmental problems related to climate change. Transport technologies make it possible to focus on new modes of transport in all forms of transport systems, while at the same time streamlining the use of new progressive transport techniques. The current direction of transport technologies shows the need to increase the application of innovative (smart railway) technological approaches, both in the planning of transport systems, in the use of transport modes, and storage and consumption depending on logistics systems.

At the same time, the formulated objectives of transport policies indicate the need to increase the efficiency and use of rail transport, which can be ensured by new innovative approaches to the construction of railway infrastructure, the use of logistics systems, and, last but not least, the use of the planning and modeling of transport systems. The future of rail transport can also be characterized by a major expansion of artificial intelligence, which will be reflected in changes in the technology of both the means of transport and transport infrastructure for rail transport. This Special Issue also focuses on research on railway resilience in the context of societal events.

The main focus of the articles in this Special Issue is assumed to be, but not strictly limited to, the following areas:

  • Rail infrastructure in the Industry 4.0 concept;
  • Smart railway;
  • Railway resilience;
  • Automation of railway means of transport;
  • Automation of railway infrastructure elements;
  • Digitization of railway technology;
  • Digitization of communication and information technologies in railway transport;
  • Intermodal transport using rail transport systems;
  • Use of high-speed technologies in rail transport;
  • Optimization of logistic processes in railway transport;
  • Modeling of infrastructure issues for railway infrastructure;
  • Modeling of means of transport;
  • Modeling of logistic processes for rail transport;
  • GIS-based modeling of railway infrastructure;
  • Use of algorithmization for future transport systems.

Dr. Juraj Čamaj
Dr. Vladislav Zitricky
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. Applied Sciences is an international peer-reviewed open access semimonthly 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.

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

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Research

20 pages, 4404 KiB  
Article
Robust and Accurate Recognition of Carriage Linear Array Images for Train Fault Detection
by Zhenzhou Fu and Xiao Pan
Appl. Sci. 2024, 14(18), 8525; https://doi.org/10.3390/app14188525 - 22 Sep 2024
Viewed by 496
Abstract
Train fault detection often relies on comparing collected images with reference images, making accurate image type recognition crucial. Current systems use Automatic Equipment Identification (AEI) devices to recognize carriage numbers while capturing images, but damaged Radio Frequency (RF) tags or blurred characters can [...] Read more.
Train fault detection often relies on comparing collected images with reference images, making accurate image type recognition crucial. Current systems use Automatic Equipment Identification (AEI) devices to recognize carriage numbers while capturing images, but damaged Radio Frequency (RF) tags or blurred characters can hinder this process. Carriage linear array images, with their high resolution, extreme aspect ratios, and local nonlinear distortions, present challenges for recognition algorithms. This paper proposes a method tailored for recognizing such images. We apply an object detection algorithm to locate key components, simplifying image recognition into a sparse point set alignment task. To handle local distortions, we introduce a weighted radial basis function (RBF) and maximize the similarity between Gaussian mixtures of point sets to determine RBF weights. Experiments show 100% recognition accuracy under nonlinear distortions up to 15%. The algorithm also performs robustly with detection errors and identifies categories from 79 image classes in 24 ms on an i7 CPU without GPU support. This method significantly reduces system costs and advances automatic exterior fault detection for trains. Full article
(This article belongs to the Special Issue Current Advances in Railway and Transportation Technology)
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32 pages, 7248 KiB  
Article
Application of Technological Procedure Automated Guided Vehicles in the Production Hall of a Company Due to Increasing the Automation—Case Study
by Jozef Gnap, Iveta Kubasáková, Jaroslava Kubáňová and Denis Pauer
Appl. Sci. 2024, 14(17), 7467; https://doi.org/10.3390/app14177467 - 23 Aug 2024
Viewed by 761
Abstract
This paper discusses the possibility of deploying automated guided vehicle (AGV) technology in a company’s production hall. Chronometric measurements of material handling and people handling were performed. The handling processes were divided into five sub-processes, which were analysed in terms of production line [...] Read more.
This paper discusses the possibility of deploying automated guided vehicle (AGV) technology in a company’s production hall. Chronometric measurements of material handling and people handling were performed. The handling processes were divided into five sub-processes, which were analysed in terms of production line operation, distance, and carrying capacity of the automated guided vehicles. Based on the measurements, we found that it was necessary to use four vehicles for handling in the foam production hall. The company is applying this automation project to foams, and after successful testing, plans to continue with automation for leather upholstery. To ensure the correct chronometric results, we measured the distances between each workstation on the production floor at the company. Based on an analysis of material handling on the production lines, we evaluated that there is a possibility of applying AGVs on the entire production floor. We analysed the volumes of material transfer and the possibilities of interconnection within the existing material handling in the enterprise. Complications arise when deploying AGVs in the plant because the handling to the production lines is not only provided by the parent company, but also by the component suppliers themselves. Based on this observation, we have identified potential collision points within the operation between automated guided vehicles and other material handling equipment or people. For this reason, we deployed one more AGV on the handling routes to prevent unwanted collisions. This means that a human would be able to perform even more processes than a machine and can circulate 80 times, where a machine under the same conditions would only perform the entire circulation 57 times. There is room here to use humans for other processes and to automate the handling of goods, although it introduces delays that can be eliminated by deploying additional automated guided vehicles. This opens room for further research questions on how these vehicles can be deployed, even in a small space, and how existing material handling can be automated. Full article
(This article belongs to the Special Issue Current Advances in Railway and Transportation Technology)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Dear Colleagues,

This Special Issue focuses on the latest developments in the rail transport sector. The implementation of innovative systems in the field of transport engineering and transport technologies is one of the most important components of multimodal transport systems and their use in the development of transport chains. The planning and subsequent concrete operational design of applied technologies must be aimed at ensuring the sustainable development of rail transport to improve the addressability of environmental problems related to climate change. Transport technologies make it possible to focus on new modes of transport in all forms of transport systems, while at the same time streamlining the use of new progressive transport techniques. The current direction of transport technologies shows the need to increase the application of innovative (smart railway) technological approaches, both in the planning of transport systems, in the use of transport modes, and storage and consumption depending on logistics systems.

At the same time, the formulated objectives of transport policies indicate the need to increase the efficiency and use of rail transport, which can be ensured by new innovative approaches to the construction of railway infrastructure, the use of logistics systems, and, last but not least, the use of the planning and modeling of transport systems. The future of rail transport can also be characterized by a major expansion of artificial intelligence, which will be reflected in changes in the technology of both the means of transport and transport infrastructure for rail transport. This Special Issue also focuses on research on railway resilience in the context of societal events.

The main focus of the articles in this Special Issue is assumed to be, but not strictly limited to, the following areas:

  • Rail infrastructure in the Industry 4.0 concept;
  • Smart railway;
  • Railway resilience;
  • Automation of railway means of transport;
  • Automation of railway infrastructure elements;
  • Digitization of railway technology;
  • Digitization of communication and information technologies in railway transport;
  • Intermodal transport using rail transport systems;
  • Use of high-speed technologies in rail transport;
  • Optimization of logistic processes in railway transport;
  • Modeling of infrastructure issues for railway infrastructure;
  • Modeling of means of transport;
  • Modeling of logistic processes for rail transport;
  • GIS-based modeling of railway infrastructure;
  • Use of algorithmization for future transport systems.

Dr. Juraj Čamaj
Dr. Vladislav Zitricky
Guest Editors

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