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 …

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 …

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 …

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 …

As the brain and nervous system of high-speed railways, the high-speed train control system
is critical to the safe and efficient operation of trains. With the expanding of the high-speed …

Optimal rail network infrastructure and rolling stock utilization can be achieved with use of
different scheduling tools by extensive planning a long time before actual operations. The …

This paper focuses on the development of metaheuristic algorithms for the real-time traffic
management problem of scheduling and routing trains in complex and busy railway …

We study the integration of real-time traffic management and train control by using mixed-
integer nonlinear programming (MINLP) and mixed-integer linear programming (MILP) …

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

Decreasing the uncertainty in the lengths of railway disruptions is a major help to disruption
management. To assist the Dutch Operational Control Center Rail (OCCR) during …