Critical infrastructure networks, such as transport and power networks, are essential for the
functioning of a society and economy. The rising transport demand increases the congestion …

Increasing urbanization has turned transporting freight from, to, and within urban areas into
a major challenge. Freight transportation represents a lifeline for urban retail and industry …

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 …

This study aims to analyze the improvement of the operational performance of Indonesia's
Soekarno-Hatta Airport train through service quality which is mediated by train passenger …

This study analytically develops a new recovery planning optimisation model for managing
the impacts of the recent COVID-19 outbreak for online business operations. Firstly, a …

Railway timetables are developed to make operations robust and resilient to small delays.
However, disturbances perturb the daily plan, and dispatchers adjust the plan to keep …

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 …

Unexpected disruptions occur for many reasons in railway networks and cause delays,
cancelations, and, eventually, passenger inconvenience. This research focuses on the …

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 …

Railway operations are vulnerable to unexpected disruptions that should be handled in an
efficient and passenger-friendly way. To this end, we propose a timetable rescheduling …