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 …

In urban metro systems, stochastic disturbances occur repeatedly as a result of an increment
of demands or travel time variations, therefore, improving the service quality and robustness …

One of the primary challenges of re-planning in high-speed urban railways is the
randomness of disruptive events. In this study, an integrated disturbance recovery model …

In this study, a new mathematical programming approach for solving the joint timetabling
and train stop planning problem in a railway line with double-track segments is proposed …

In urban metro systems, several factors such as passenger congestion may affect the
movement of trains, resulting in significant deviations from the planned timetable. This study …

The problem of managing effective pedestrian evacuation during disruptions is a significant
challenge because of the complexity and randomness of the passenger flow dynamics as …

Urban rail planning is extremely complex, mainly because it is a decision problem under
different uncertainties. In practice, travel demand is generally uncertain, and therefore, the …

In this study, a multi-commodity network flow model is proposed to optimize the railroad
capacity under temporary line blockage. The proposed model enables the assessment of …

This paper focuses on developing mathematical optimization models for the train timetabling
problem with respect to dynamic travel demand and capacity constraints. The train …

Railway disturbance management is inherently a multi-objective optimization problem that
concerns both the operators' cost and passenger's service level. This study proposes a multi …