Railway line capacity depends on railway infrastructure and timetable and, thereby, implicitly on the rolling stock used; and it can be measured with given actual infrastructure and timetable (Landex 2009).
Therefore, it is necessary to develop procedures to evaluate railway line capacity by considering heterogeneity without existing timetable.
We perform analysis using mathematical modelling to determine the impacts of different train types on railway line capacity.
The proposed railway capacity model for evaluation of the interaction of different train types on railway line capacity is explained in Section 2.
Several methods have been developed to calculate and evaluate railway line capacity. These methods can be classified in four categories: analytical, parametric, optimization and simulation.
Optimization methods are designed to provide more strategic perspective for solving the railway capacity problem and consider various parameters that affect railway line capacity. Combinatorial optimization models are used more and more for strategic line planning in large complex networks, timetable design, rolling stock and crew scheduling.
Given the operational conditions, the railway line capacity determines the maximum number of trains that would be able to operate on a given railway infrastructure during a specific time interval (Abril et al.
In the following subsections, the capacity calculation for railway line capacity and line section capacity are described.
In this step, based on the arcs built in previous step, a model for railway line capacity problem is proposed.
Railway line capacity of this route versus the average velocity is shown in Fig.