This paper presents an overview of recovery models and algorithms for real-time railway
disturbance and disruption management. This area is currently an active research area in …

Efficiently coordinating the movement of trains on a railway network is a central part of the
planning process for a railway company. This paper reviews models and methods that have …

Artificial Intelligence (AI) offers the potential to transform our lives in radical ways. However,
the main unanswered questions about this foreseen transformation are its depth, breadth …

Train dispatching is critical for the punctuality and reliability of rail operations, especially for
a complex rail network. This paper develops an innovative integer programming model for …

Optimization models for railway traffic rescheduling tackle the problem of determining, in real-
time, control actions to reducing the effect of disturbances in railway systems. In this field …

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 the case of a metro disruption, the planned timetable cannot be operated and a large
number of passengers are left stranded in the stations. When the disruption is over, some …

This paper studies the problem of rescheduling trains in a large-scale railway network with
the characteristics of long distance, long time horizon and a large number of trains, where a …

Focusing on providing a modelling framework for train operation problems, this paper
proposes a new collaborative optimization method for both train stop planning and train …

This paper addresses the problem of train conflict detection and resolution, which is dealt
every day by traffic controllers to adapt the timetable to delays and other unpredictable …