Big data analytics (BDA) has increasingly attracted a strong attention of analysts,
researchers and practitioners in railway transportation and engineering. This urges the …

Nowadays, the railway industry is in a position where it is able to exploit the opportunities
created by the IIoT (Industrial Internet of Things) and enabling communication technologies …

In the last few years, many works have addressed Predictive Maintenance (PdM) by the use
of Machine Learning (ML) and Deep Learning (DL) solutions, especially the latter. The …

This paper describes an algorithm for scheduling bidirectional railway lines (both single-and
multi-track) using a reinforcement learning (RL) approach. The goal is to define the track …

Inspection and maintenance activities are essential to preserving safety and cost-
effectiveness in railways. However, the stochastic nature of railway defect occurrence is …

Alongside the development of high-speed rail, rail flaw detection is of great importance to
ensure railway safety, especially for improving the speed and load of the train. Several …

Train dispatching (TD) is at the forefront of all rail operations that transport passengers or
goods. Recent technological advances and the explosion of digital data have introduced …

We address the problem of simultaneously scheduling trains and planning preventive
maintenance time slots (PMTSs) on a general railway network. Based on network …

Rail inspection research is a substantive topic for the railway industry. Management of
rolling contact fatigue rail defects is crucial for transport safety worldwide because …

The demand on the public transportation in many cities has been increasing with the
diversity of commuters' activities that require the regular travelling across the urban and …