Nowadays it is widely accepted that Artificial Intelligence (AI) is significantly influencing a
large number of domains, including railways. In this paper, we present a systematic literature …

With the rapid development of communication, control and computer technologies in the last
several decades, automatic train operation (ATO), for which the driver no longer has to …

With the expansion of urban rail networks and the increase of passengers demand, the
coordination of strongly connected lines becomes more and more important, because …

Railway track maintenance and renewal are vital for railway safety, train punctuality, and
travel comfort. Therefore, having cost-effective maintenance is critical in managing railway …

Rescheduling in railway networks is a challenging problem in both practice and theory. It
requires good quality solutions in reasonable computation time to resolve unexpected …

In this paper we present a stochastic model for predicting the propagation of train delays
based on Bayesian networks. This method can efficiently represent and compute the …

Trains normally run as scheduled in a non-disrupted situation. However, due to external
and/or internal factors, trains may deviate from their original timetable during daily …

We propose machine learning models that capture the relation between passenger train
arrival delays and various characteristics of a railway system. Such models can be used at …

This paper deals with the real-time problem of scheduling and routing trains in a railway
network. In the related literature, this problem is usually solved starting from a subset of …

This paper addresses the problem of improving the integration between passenger
timetabling and track maintenance scheduling. We propose a microscopic optimization …