Abstract
With the increasing demand for railway transportation infrastructure managers need improved automatic timetabling tools that provide feasible timetables with enhanced performance in short computation times. This paper proposes a hierarchical framework for timetable design which combines a microscopic and a macroscopic model of the network. The framework performs an iterative adjustment of train running and minimum headway times until a feasible and stable timetable has been generated at the microscopic level. The macroscopic model optimizes a trade-off between minimal travel times and maximal robustness using an Integer Linear Programming formulation which includes a measure for delay recovery computed by an integrated delay propagation model in a Monte Carlo setting. The application to an area of the Dutch railway network shows the ability of the approach to automatically compute a feasible, stable and robust timetable. Practitioners can use this approach both for effective timetabling and post-evaluation of existing timetables.
Original language | English |
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Pages (from-to) | 14-32 |
Number of pages | 19 |
Journal | Transportation Research. Part B: Methodological |
Volume | 87 |
DOIs | |
Publication status | Published - 1 May 2016 |
Keywords
- Feasibility
- Infrastructure occupation
- Railway timetable
- Robustness
- Stability