- Date
- Thursday 4 Oct 2018, 13:45 - 16:30
- Type
- Workshop
- Spoken Language
- English
- Room
- Leuven (M1-08)
- Building
- Van der Goot Building
- Location
- Campus Woudestein
ECOPT intends to organize several small workshops with both a scientific speaker and a speaker from practice throughout the year.
Speakers
- Markus Friedrich (University of Stuttgart)
- Thijs Rensink (Netherlands Railways)
- Gabor Maroti (Netherlands Railways & Vrij Universiteit Amsterdam)
Programme
| Time | Workshop |
|---|---|
| 13:45-14:00 | Welcome |
| 14:00-15:00 | Markus Friedrich Modeling Vehicle Sharing with Driverless Cars and Impacts on Urban Transport |
| 15:00-15:30 | Break |
| 15:30-16:30 | Thijs Rensink and Gabor Maroti |
| 16:30 | Drinks |
Abstracts
We present a new approach in rolling stock scheduling where the stochastic nature of the passenger demand is captured, as opposed the traditional way that works with simplified deterministic passenger demand figures. The stochastic demand model relies on accurate forecasts drawn from the smart card data, and gives rise to novel measure for service quality, such as to the seat probability. In fact, seat probability is one of the main KPIs in the contract between Netherlands Railways (NS) and the Dutch state.
In the first part of this talk we discuss what seat probability is all about and how it can be incorporated into the mathematical optimization model of TAM, the in-house developed rolling stock optimization tool of NS. The second part of the talk is devoted to the lessons learned when implementing and using seat probability optimization in practice. In turns out that, by optimizing for seat probability, the service quality can be improved by 5-10%, in some cases even by 15%, without raising operational costs.
We present a new approach in rolling stock scheduling where the stochastic nature of the passenger demand is captured, as opposed the traditional way that works with simplified deterministic passenger demand figures. The stochastic demand model relies on accurate forecasts drawn from the smart card data, and gives rise to novel measure for service quality, such as to the seat probability. In fact, seat probability is one of the main KPIs in the contract between Netherlands Railways (NS) and the Dutch state.
In the first part of this talk we discuss what seat probability is all about and how it can be incorporated into the mathematical optimization model of TAM, the in-house developed rolling stock optimization tool of NS. The second part of the talk is devoted to the lessons learned when implementing and using seat probability optimization in practice. In turns out that, by optimizing for seat probability, the service quality can be improved by 5-10%, in some cases even by 15%, without raising operational costs.
Registration
Participation in the workshop is free. However, only a limited number of places are available. Therefore, we ask you to register for the workshop by sending an email to dollevoet@ese.eur.nl. Registrations will be served on a first-come-first-serve basis.
- More information
Twan Dollevoet: dollevoet@ese.eur.nl