Intelligent Systems for Railway Infrastructure

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

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