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Intelligent Systems for Railway Infrastructure
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Intelligent Systems for Railway Infrastructure

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

Deadline for manuscript submissions: closed (20 August 2023) | Viewed by 12496

Special Issue Editors

Prof. Dr. Jaesun Lee

E-Mail Website
Guest Editor
School of Mechanical Engineering, Changwon National University, Changwon 51140, Republic of Korea
Interests: railway engineering; ultrasonic NDE/SHM (structural health monitoring); theoretical analysis; prognostic study; solid mechanics; structural analysis; applied mechanics; nonlinear ultrasonic
Special Issues, Collections and Topics in MDPI journals
Dr. Sunil Kumar Sharma

E-Mail Website
Guest Editor
National Rail and Transportation Institute (NRTI), Vadodara, India
Interests: active control; vibration dynamics and control; rail vehicle dynamics

Special Issue Information

Dear Colleagues,

The unprecedented modernization and expansion of the rail transportation system will require substantial research efforts in order to find field-deployable technologies. This Special Issue aims to provide an open forum for scientists, researchers, and engineers to promote the exchange of the latest scientific and technological innovations in rail transportation and to advance state-of-the-art engineering and practices for various types of rail-based transportation systems. It covers all the main areas of this field, including rail vehicles, infrastructure, traction power, operation, communication, and the environment of light rail, metro, heavy, and high-speed railway systems. It will create a platform for the regular transfer of knowledge and new tools, and for the discussion of innovative contributions regarding the analysis of passenger and freight railway. 

This Special Issue invites the submission of innovative research, reviews, case studies, and successful applications of solutions that aim to contribute toward intelligent systems for railway infrastructure. Theoretical, experimental, and computational investigations (or a combination of these) are welcome.

Papers should cover various topics related (but not limited) to structural integrity, sustainable rolling stock, vehicle dynamics, sustainability in the construction of railway infrastructure, structural condition assessment, digital twins, model calibration and validation, suspension parameter optimization, running stability, ride quality, wheel–rail dynamics, modal analysis, noise control and active control, structural health monitoring, new sensors and technologies (photogrammetry, laser scanning, drones, wireless), computer vision techniques, automated damage identification, remote inspection strategies, bridge information modelling, big data, artificial intelligence (supervised and unsupervised learning), augmented reality, virtual reality, disaster risk reduction, emergency management and intelligent asset management, and the optimal use of rolling stock and energy to increase the efficiency and competitiveness of passenger and freight transport.

Prof. Dr. Jaesun Lee
Dr. Sunil Kumar Sharma
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.

Keywords

  • railway transportation
  • railway engineering
  • railway infrastructure
  • rolling stock
  • noise control active control
  • vibration control
  • sustainable transportation
  • structural health monitoring

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Published Papers (6 papers)

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Editorial

Jump to: Research

2 pages, 179 KiB  
Editorial
Special Issue: Intelligent Systems for Railway Infrastructure
by Jaesun Lee and Sunil Kumar Sharma
Appl. Sci. 2023, 13(20), 11274; https://doi.org/10.3390/app132011274 - 13 Oct 2023
Cited by 6 | Viewed by 1256
Abstract
Railway infrastructure plays a crucial role in the efficient operation of transportation systems across the globe [...] Full article
(This article belongs to the Special Issue Intelligent Systems for Railway Infrastructure)

Research

Jump to: Editorial

16 pages, 1694 KiB  
Article
Life-Cycle Greenhouse Gas (GHG) Emissions Calculation for Urban Rail Transit Systems: The Case of Pernambuco Metro
by Diogo Da Fonseca-Soares, Sayonara Andrade Eliziário, Josicleda Domiciano Galvinicio and Angel Fermin Ramos-Ridao
Appl. Sci. 2023, 13(15), 8965; https://doi.org/10.3390/app13158965 - 4 Aug 2023
Cited by 6 | Viewed by 2497
Abstract
In recent years, the issue of climate change has gained significant attention and become a focal point of discussion in various sectors of civil society. Governments, individuals, and scientists worldwide are increasingly concerned about the observed changes in climate patterns, often attributed to [...] Read more.
In recent years, the issue of climate change has gained significant attention and become a focal point of discussion in various sectors of civil society. Governments, individuals, and scientists worldwide are increasingly concerned about the observed changes in climate patterns, often attributed to the rising levels of greenhouse gases. In this context, the main objective of this study is to assess the greenhouse gas emissions associated with the railway system in the state of Pernambuco, Brazil, and compare them with other national case studies, aiming to obtain greenhouse gas emission parameters specific to the railway system and propose mitigation models to address this environmental impact in the air. To achieve this goal, a comprehensive life cycle assessment (LCA) methodology was employed to examine the life cycle of the Pernambuco Metro. This involved conducting an inventory of resource inputs and emissions using actual observed data. Additionally, a comparative analysis of greenhouse gas emissions across different urban rail transport systems is presented to provide valuable contextual insights. The study findings reveal that the total greenhouse gas emissions from the Pernambuco rail system amount to 6170.54 t CO2e. Considering a projected total service life of 50 years, the estimated greenhouse gas emissions for the entire life cycle of the system’s operation and maintenance reach 308,550 t CO2e. The interdisciplinary nature of this research highlights the significance of studying the atmospheric effects of the Pernambuco railway system as a crucial parameter for designing strategies and technologies aimed at reducing air pollution within the region. Through quantifying and analyzing the greenhouse gas emissions of the Pernambuco rail system, this study provides valuable insights that contribute to addressing concerns related to climate change and promoting sustainable practices. It underscores the importance of developing effective strategies to mitigate air pollution and facilitates informed decision-making for the future of urban transportation systems. Full article
(This article belongs to the Special Issue Intelligent Systems for Railway Infrastructure)
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19 pages, 2978 KiB  
Article
Optimal Location of Emergency Facility Sites for Railway Dangerous Goods Transportation under Uncertain Conditions
by Yu Wang, Jing Wang, Jialiang Chen and Kai Liu
Appl. Sci. 2023, 13(11), 6608; https://doi.org/10.3390/app13116608 - 29 May 2023
Cited by 1 | Viewed by 1443
Abstract
Railroad accidents involving dangerous goods (DG) need to be rescued quickly due to their hazardous nature. This paper proposes an emergency facility location model for the railway dangerous-goods transportation problem (RDGT-EFLP, abbreviated as EFLP). The EFLP model is based on an ellipsoidal robust [...] Read more.
Railroad accidents involving dangerous goods (DG) need to be rescued quickly due to their hazardous nature. This paper proposes an emergency facility location model for the railway dangerous-goods transportation problem (RDGT-EFLP, abbreviated as EFLP). The EFLP model is based on an ellipsoidal robust model that introduces a robust control safety parameter Ω to measure the risk preferences of decision makers and limits the range of uncertain demand, the range of uncertain service and the range of safety parameters to find the solution for siting emergency facilities, when the time and location of emergency events are unknown. The model is solved using a genetic algorithm (GA) and real data after abstraction. Finally, a comprehensive analysis of the solution results under different maximum overcoverages illustrates the feasibility and effectiveness of the model. Full article
(This article belongs to the Special Issue Intelligent Systems for Railway Infrastructure)
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18 pages, 3549 KiB  
Article
Experimental and Mathematical Study of Flexible–Rigid Rail Vehicle Riding Comfort and Safety
by Sunil Kumar Sharma, Rakesh Chandmal Sharma, Yeongil Choi and Jaesun Lee
Appl. Sci. 2023, 13(9), 5252; https://doi.org/10.3390/app13095252 - 22 Apr 2023
Cited by 18 | Viewed by 2176
Abstract
This paper analyses the dynamic behavior of a rail vehicle using experimental and simulation analysis on a multi-rigid–flex body model. The mathematical models are developed considering the car body, bogie frame, and wheel axle for rail vehicles of rigid–flexible and multi-rigid formulations, taking [...] Read more.
This paper analyses the dynamic behavior of a rail vehicle using experimental and simulation analysis on a multi-rigid–flex body model. The mathematical models are developed considering the car body, bogie frame, and wheel axle for rail vehicles of rigid–flexible and multi-rigid formulations, taking the car body as rigid for the rigid body analysis and the flexible car body for flex–rigid analysis. A finite element model of the car body was developed in ANSYS, and substructure and modal analyses were performed. The mathematical model is validated through an experiment conducted by the Research Design and Standards Organization. Then, the validated model is further analyzed to evaluate the running comfort, using the Sperling ride index and the running safety, by investigating the derailment coefficient and wheel load reduction rate. The impact of flexibility on the vehicle’s running stability is investigated using the rigid body dynamics model and experimental data. Compared to experimental data, the simulation results reveal that elastic vibration cannot be neglected in vehicle dynamics, since the rigid–flexible coupling model is slightly more significant than the rigid-body model for ride comfort and safety. Full article
(This article belongs to the Special Issue Intelligent Systems for Railway Infrastructure)
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23 pages, 7216 KiB  
Article
Creation of Signals Database for the Development of Speed Estimation in an Axle Counter System
by Adam Szczeponik and Damian Grzechca
Appl. Sci. 2023, 13(5), 2938; https://doi.org/10.3390/app13052938 - 24 Feb 2023
Cited by 1 | Viewed by 1358
Abstract
The article presents the process of creation of a signals database for the development of a train speed-estimation method for an axle counter system. In the article the authors present the need for information about the train speed on the railway lines and [...] Read more.
The article presents the process of creation of a signals database for the development of a train speed-estimation method for an axle counter system. In the article the authors present the need for information about the train speed on the railway lines and the possible applications for which the information about the train speed may be used, as well as address the concerns related with the evaluation of the information in axle counter systems. The main goal of the paper is to present the creation process of an axle counter signals database and how to emulate the real signals using the laboratory-obtained ones. A database that has been created for a specific wheel detector is available on request. It contains a variety of signals that are necessary for the development and tests of wheel detector algorithms, in particular the estimation of train speed. Signals were generated for the most commonly used rail profile in Europe and the wheels that are defined in the technical specification of interoperability. Furthermore, the signals were transformed to emulate various speeds, the possible accelerations and to include the disturbance observed in the field. Full article
(This article belongs to the Special Issue Intelligent Systems for Railway Infrastructure)
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28 pages, 14497 KiB  
Article
New Contributions for Damping Assessment on Filler-Beam Railway Bridges Framed on In2Track EU Projects
by Artur Silva, Diogo Ribeiro, Pedro Aires Montenegro, Gonçalo Ferreira, Andreas Andersson, Abbas Zangeneh, Raied Karoumi and Rui Calçada
Appl. Sci. 2023, 13(4), 2636; https://doi.org/10.3390/app13042636 - 18 Feb 2023
Cited by 2 | Viewed by 1657
Abstract
Structural damping is an important characteristic in railway bridges, which affects the performance of the structure, especially for bridges with train speeds higher than 200 km/h. The accurate evaluation of damping must be performed properly to correctly assess the structural performance of the [...] Read more.
Structural damping is an important characteristic in railway bridges, which affects the performance of the structure, especially for bridges with train speeds higher than 200 km/h. The accurate evaluation of damping must be performed properly to correctly assess the structural performance of the bridge under dynamic loading conditions. The present article introduces an alternative methodology that contributes to the assessment of damping coefficients with application to railway bridges. The methodology is based in the Prony method with an energy-sorting technique for the identification of dominant frequencies of a free vibration signal of a passing train. The numerical validation of the method is based on a sensitivity analysis of the free vibration periods of signals through the evaluation of influence lines of displacement and numerically simulated receptance tests, and in the estimation of the damping coefficient from the free vibration period obtained in a train-bridge interaction dynamic analysis with a known imposed value. Finally, and in the scope of the In2Track2 and In2Track3 projects, the experimental assessment of damping coefficients using this methodology was carried out, considering four filler-beam bridges from the Portuguese Railway Network. The ambient vibration tests allowed the evaluation of the main frequencies and damping in these bridges, and the dynamic tests under railway traffic allowed the definition of the dynamic response of these bridges and subsequent application of the Prony method for two types of trains. The results of this work allow a new update of the database for damping coefficients of filler-beam railway bridges, contributing to future revisions of EN1991-2. Full article
(This article belongs to the Special Issue Intelligent Systems for Railway Infrastructure)
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