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 …

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 …

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 …

Real-time traffic management in railway aims to minimize delays after an unexpected event
perturbs the operations. It can be formalized as the real-time railway traffic management …

On a daily basis, large-scale disruptions require infrastructure managers and railway
operators to reschedule their railway timetables together with their rolling stock and crew …

The optimal trajectory planning problem for train operations under constraints and fixed
arrival time is considered. The varying line resistance, variable speed restrictions, and …

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 …

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 …