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 …

Railway operations are vulnerable to delays. Accurate predictions of train arrival and
departure delays improve the passenger service quality and are essential for real-time …

Accurate estimation of running and dwell times is important for all levels of planning and
control of railway traffic. The availability of historical track occupation data with a high degree …

This paper proposes the new concept of dynamic infrastructure occupation to assess
infrastructure capacity under disturbed conditions as a complement to the established …

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 …

Railway timetables must provide competitive travel times and at the same time be able to
withstand delays, perturbations, and variations in operating conditions without losing …

Nowadays, huge amounts of data have been captured along with the day-to-day operation
of assets including railway systems. Hence, we have come to the era of big data. The …

The congestion of urban transportation is becoming an increasingly critical problem for
many metropolises. The Urban Rail Transit (URT) system has attracted substantial attention …

This paper presents a microscopic model for accurate prediction of train event times based
on a timed event graph with dynamic arc weights. The process times in the model are …