Prediction Models for Railway Track Geometry Degradation Using Machine Learning Methods: A Review. [PDF]
Sensors (Basel), 2022 Keeping railway tracks in good operational condition is one of the most important tasks for railway owners. As a result, railway companies have to conduct track inspections periodically, which is costly and time-consuming. Due to the rapid development in
Liao Y, Han L, Wang H, Zhang H.
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An intelligent railway surveillance framework based on recognition of object and railway track using deep learning. [PDF]
Multimed Tools Appl, 2022 In high speed railways, the intelligent railway safety system is necessary to avoid the accidents due to collision between trains and obstacles on the railway track.
Kapoor R, Goel R, Sharma A.
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A Novel Approach to Railway Track Faults Detection Using Acoustic Analysis. [PDF]
Sensors (Basel), 2021 Regular inspection of railway track health is crucial for maintaining safe and reliable train operations. Factors, such as cracks, ballast issues, rail discontinuity, loose nuts and bolts, burnt wheels, superelevation, and misalignment developed on the ...
Shafique R +7 more
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Semi-Supervised Deep Learning in High-Speed Railway Track Detection Based on Distributed Fiber Acoustic Sensing. [PDF]
Sensors (Basel), 2022 High deployment costs, safety risks, and time delays restrict traditional track detection methods in high-speed railways. Therefore, approaches based on optical sensors have become the most remarkable strategy in terms of deployment cost and real-time ...
Wang S, Liu F, Liu B.
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Railway track surface faults dataset. [PDF]
Data BriefL'entretien de l'infrastructure ferroviaire est essentiel pour assurer des réseaux de transport sûrs et efficaces. Les défauts de la surface des voies ferrées tels que les fissures, les lambeaux, les joints, les éclaboussures, les déblais, les accroupissements, les rainures et divers autres défauts, qui posent des défis importants à l'intégrité et à la
Arain A +5 more
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Real-Time Detection of Railway Track Component via One-Stage Deep Learning Networks. [PDF]
Sensors (Basel), 2020 Railway inspection has always been a critical task to guarantee the safety of the railway transportation. The development of deep learning technologies brings new breakthroughs in the accuracy and speed of image-based railway inspection application.
Wang T, Yang F, Tsui KL.
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Digital Filtering of Railway Track Coordinates in Mobile Multi-Receiver GNSS Measurements. [PDF]
Sensors (Basel), 2020 The article discusses an important issue in connection with the technique of mobile Global Navigation Satellite System (GNSS) measurements of railway track coordinates, which is digital filtering performed to precisely determine railway track axes.
Wilk A +12 more
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A Review of Different Aspects of Applying Asphalt and Bituminous Mixes under a Railway Track. [PDF]
Materials (Basel), 2020 Asphalt is a common material that is used extensively for roadways. Furthermore, bituminous mixes have been used in railways, both as asphalt and as mortar.
Jadidi K +4 more
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An analysis of railway track behaviour based on distributed optical fibre acoustic sensing
Mechanical systems and signal processing, 2020 David Milne +4 more
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Current situation and development trend of design methods for subgrade structure of high speed railways [PDF]
Railway Sciences, 2023 Purpose – This method will become a new development trend in subgrade structure design for high speed railways. Design/methodology/approach – This paper summarizes the structural types and design methods of subgrade bed for high speed railways in China ...
Yangsheng Ye +5 more
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