A data-driven approach for quantifying the resilience of railway networks

Disruptions occur frequently in railway networks, requiring timetable adjustments, while causing serious delays and cancellations. However, little is known about the performance dynamics during disruptions nor the extent to which the resilience curve applies in practice. This paper presents a data-driven quantification approach for an ex-post...

A data-driven approach for evaluating the resilience of railway networks

Disruptions occur frequently in railway networks, requiring adjustments to the timetable, rolling stock planning and crew planning while causing delays and cancellations. Although the evolu­tion of system performance during a disruption can be visualized in the resilience curve, not much is known about performance during disruptions or the...

Socio-Technical Agent-Based Modelling of Decision-Making in an Airline Operational Control Center: Application to an unexpected diversion use case at KLM CityHopper

This paper proposes a socio-technical agent-based model developed to increase the understanding of decision-making in an airline operational control center (AOCC). In this model human decision-makers, a Decision Support Tool, and technical systems are included. The selected case study encompasses the<br/>unexpected diversion of a flight from...