Abstract
Timetabling is a central step in the planning of public transport and important for the quality of service. Thereby, it also faces requirements like punctuality, cost efficiency, flexibility and minimization of travel time. We show the state-of-the-art techniques and their extensions to new challenges, in particular, multi-period timetables and robustness. We conclude with a case study from the Italian Railways that shows the effectiveness of our robustness methods.
Keywords
- Periodic Event Scheduling Problem (PESP)
- Network Propagation Delay
- Recoverable Robustness
- Arrival Path
- Sharp Trees
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Galli, L., Stiller, S. (2018). Modern Challenges in Timetabling. In: Borndörfer, R., Klug, T., Lamorgese, L., Mannino, C., Reuther, M., Schlechte, T. (eds) Handbook of Optimization in the Railway Industry. International Series in Operations Research & Management Science, vol 268. Springer, Cham. https://doi.org/10.1007/978-3-319-72153-8_6
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