R. (Rowan) Hoogervorst MSc

Rowan Hoogervorst
Erasmus School of Economics (ESE)
Erasmus University Rotterdam
ERIM PhD Candidate
Field: Logistics & Information Systems
Affiliated since 2016

PhD Track Improving the Scheduling and Rescheduling of Rolling Stock: Solution Methods and Extensions

Railway transportation plays an important role in the Dutch mobility system. To make train travel both comfortable and affordable, it is essential for operators to efficiently use their train units. This means that these train units have to be scheduled such that a good balance between passenger service and operational costs is found. Moreover, efficient rescheduling of these train units is necessary to maintain a good service in case a disruption occurs in the railway system. In this thesis, we focus on improving both the scheduling and rescheduling of rolling stock, where we are specifically interested in further integrating these problems into the operational process of a railway operator.

First, we look at the solution methods that are used for solving both rolling stock problems. Here, we compare existing models for rolling stock scheduling and propose a new heuristic for the rolling stock rescheduling problem that can be easily extended for rich rolling stock settings. Second, we look at extensions of the traditional rolling stock rescheduling problem. Here, we consider the reduction of passenger delays through rolling stock rescheduling, where we find that rolling stock rescheduling can significantly reduce the delays experienced by passengers. Furthermore, we consider rescheduling the rolling stock together with those drivers that move train units at the stations.

 

Keywords
Rolling Stock Scheduling, Rolling Stock Rescheduling, Railway Optimization, Public Transportation, Operations Research, Mathematical Optimization, Column Generation, Variable Neighborhood Search
Time frame
2016 -

Publications

  • Academic (3)
    • Hoogervorst, R., Dollevoet, T., Maroti, G., & Huisman, D. (2021). A Variable Neighborhood Search Heuristic for Rolling Stock Rescheduling. EURO Journal on Transportation and Logistics, 10, [100032]. https://doi.org/10.1016/j.ejtl.2021.100032

    • Hoogervorst, R., Dollevoet, T., Huisman, D., & Maroti, G. (2020). Reducing Passenger Delays by Rolling Stock Rescheduling. Transportation Science, 54(3), 762-784. https://doi.org/10.1287/trsc.2019.0968

    • Hoogervorst, R., Zhang, Y., Tillem, G., Erkin, Z., & Verwer, S. (2019). Solving bin-packing problems under privacy preservation: Possibilities and trade-offs. Information Sciences, 500, 203-216. https://doi.org/10.1016/j.ins.2019.05.011

  • Academic (1)
    • Hoogervorst, R., Essink, E., Jansen, W., van den Helder, M., Schouten, K., Frasincar, F., & Taboada, M. (2016). Aspect-Based Sentiment Analysis on the Web Using Rhetorical Structure Theory. In 16th International Conference on Web Engineering (ICWE 2016) (Vol. 9671, pp. 317-334). Springer. https://doi.org/10.1007/978-3-319-38791-8_18

  • Internal (1)
    • Hoogervorst, R. R. (2021). Improving the Scheduling and Rescheduling of Rolling Stock: Solution Methods and Extensions. Erasmus University.

  • Academic (1)
    • Hoogervorst, R., Dollevoet, T., Maroti, G., & Huisman, D. (2018). Reducing Passenger Delays by Rolling Stock Rescheduling. (Econometric Institute Report Series EI2018-29 ed.) Econometric Institute, Erasmus University. http://hdl.handle.net/1765/114971

  • Academic (1)
    • Hoogervorst, R., Dollevoet, T., Maroti, G., & Huisman, D. (2019). A Variable Neighborhood Search Heuristic for Rolling Stock Rescheduling. Econometric Institute, Erasmus University. Econometric Institute Report Series Vol. EI2019-34


Address

Visiting address

Office: ET-14
Burgemeester Oudlaan 50
3062 PA Rotterdam

Postal address

Postbus 1738
3000 DR Rotterdam
Netherlands