Abstract
AbstractThis article tackles the real‐world planning problem of railway operations. Improving the timetable planning process will result in more reliable product plans and a higher quality of service for passengers and freight operators. We focus on the microscopic models for computing accurate track blocking times for guaranteeing feasibility and stability of railway timetables. A conflict detection and resolution model manages feasibility by identifying conflicts and computing minimum headway times that provide conflict‐free services. The timetable compression method is used for computing capacity consumption and verifying the stability according to the UIC Capacity Code 406. Furthermore, the microscopic models have been incorporated in a multilevel timetabling framework for completely automated generation of timetables. The approach is demonstrated in a real‐world case study from the Dutch railway network. Practitioners can use these microscopic timetabling models as an important component in the timetabling process to improve the general quality of timetables.
Highlights
Timetabling is one of the major planning tasks in railway traffic and becomes increasingly complicated with the increasing demand for more services
4.2 Operational running time computation In Step 2, for each train t ∈ T and corresponding t, we compute the operational running time consisting of the detailed train trajectory and scheduled times at microscopic timetable points, which are used for further microscopic analyses as conflict detection and capacity assessment
We have provided a methodology and new microscopic models for supporting the timetable design as well as the network and data transformations to manage communications between microscopic and macroscopic models
Summary
Timetabling is one of the major planning tasks in railway traffic and becomes increasingly complicated with the increasing demand for more services. Nash and Huerlimann (2004), Siefer and Radtke (2006), and Quaglietta (2014) presented advanced microscopic simulation tools, which are able to accurately simulate railway operations based on a detailed modeling of infrastructure, signaling and train dynamics that could be used to detect conflicts in a timetable These multipurpose microscopic simulation models need long computation times to evaluate conflict-freeness of timetables on large and heavily utilized railway networks. R fast computation of operational train trajectories from scheduled event times that enable microscopic r timetable evaluation; capacity assessment based on max-plus automata that compute the capacity occupation in stations more rer alistically than the current UIC method; automatic conflict detection that accurately deterr mines existing conflicts at the level of track sections; consistent network transformations from micro to macro and vice versa.
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