Recent applications of big data analytics in railway transportation systems: A survey
Big data analytics (BDA) has increasingly attracted a strong attention of analysts,
researchers and practitioners in railway transportation and engineering. This urges the …
researchers and practitioners in railway transportation and engineering. This urges the …
Track geometry degradation and maintenance modelling: A review
I Soleimanmeigouni, A Ahmadi… - Proceedings of the …, 2018 - journals.sagepub.com
Increased demand for railway transportation is creating a need for higher train speeds and
axle loads. These, in turn, increase the likelihood of track degradation and failures …
axle loads. These, in turn, increase the likelihood of track degradation and failures …
Railway infrastructure maintenance-a survey of planning problems and conducted research
T Lidén - Transportation Research Procedia, 2015 - Elsevier
Railway infrastructure maintenance consumes very large budgets, is complicated to
organize and has numerous challenging planning problems. Specifically, the coordination …
organize and has numerous challenging planning problems. Specifically, the coordination …
Data-driven optimization of railway maintenance for track geometry
Railway big data technologies are transforming the existing track inspection and
maintenance policy deployed for railroads in North America. This paper develops a data …
maintenance policy deployed for railroads in North America. This paper develops a data …
Data-driven predictive maintenance scheduling policies for railways
Inspection and maintenance activities are essential to preserving safety and cost-
effectiveness in railways. However, the stochastic nature of railway defect occurrence is …
effectiveness in railways. However, the stochastic nature of railway defect occurrence is …
A decision support approach for condition-based maintenance of rails based on big data analysis
In this paper, a decision support approach is proposed for condition-based maintenance of
rails relying on expert-based systems. The methodology takes into account both the actual …
rails relying on expert-based systems. The methodology takes into account both the actual …
Estimation of railway track longitudinal irregularity using vehicle response with information compression and Bayesian deep learning
In railway transportation, track geometry irregularity is one of the main factors in controlling
train safety. At present, railway practitioners typically use the track geometry car (TGC) …
train safety. At present, railway practitioners typically use the track geometry car (TGC) …
Exploring the impact of foot-by-foot track geometry on the occurrence of rail defects
Predicting rail defects is of great importance for safe railway transportation. Using foot-by-
foot track geometry and tonnage data, this paper develops a new machine learning based …
foot track geometry and tonnage data, this paper develops a new machine learning based …
An optimization model for integrated planning of railway traffic and network maintenance
T Lidén, M Joborn - Transportation Research Part C: Emerging …, 2017 - Elsevier
Railway transportation systems are important for society and have many challenging and
important planning problems. Train services as well as maintenance of a railway network …
important planning problems. Train services as well as maintenance of a railway network …
Prediction of railroad track geometry change using a hybrid CNN-LSTM spatial-temporal model
Track geometry is highly important for ensuring railroad safety. Predicting track geometry
degradation can support preventive maintenance by identifying and prioritizing track …
degradation can support preventive maintenance by identifying and prioritizing track …