R.N. (Rolf) van Lieshout MSc

Rolf van Lieshout
Erasmus School of Economics (ESE)
Erasmus University Rotterdam
ERIM PhD Candidate
Field: Logistics & Information Systems
Affiliated since 2017

Rolf van Lieshout (1994) is a PhD candidate at the Erasmus School of Economics. In his research, Rolf works on developing new disruption management strategies for extreme disruptions in railway systems. In particular, the goal is to find new ways to avoid (or at least reduce the impact) of out-of-control situations, situations where traffic controllers no longer have an overview over the system, and therefore decide to terminate all railway traffic in a part of the network. These situations are typically caused by extreme weather conditions or power outages. As conventional methods are unable to deal with the size and high degree of uncertainty of these disruptions, new disruption management strategies need to be developed. Supervisors: prof.dr. Dennis Huisman and dr. Paul Bouman

PhD Track Improving the Resilience of Railway Systems

Railway systems occasionally get into a state of out-of-control, meaning that barely any train is running, even though the required resources (infrastructure, rolling stock and crew) are available. These situations can either be caused by large disruptions or unexpected propagation and accumulation of delays. Because of the large number of affected resources and the absence of detailed, timely and accurate information, currently existing rescheduling methods cannot be applied in out-of-control situations. In this research, we investigate a recently proposed framework aiming at reducing the impact of these situations and - if possible - avoiding them. Specifically, we develop novel mathematical models for adjusting the line plan on the day of operations, investigate self-organizing dispatching techniques for rolling stock and crew, and analyse methods to inform and steer the passengers.

railway disruption management, rolling stock and crew rescheduling, dispatching, self-organizing systems
Time frame
2017 -


  • Academic (3)
    • van Lieshout, R. N., Bouman, P. C., & Huisman, D. (2021). A next step in disruption management: combining operations research and complexity science. Public Transport. https://doi.org/10.1007/s12469-021-00261-5

    • Lieshout, R., Bouman, P., & Huisman, D. (2020). Determining and Evaluating Alternative Line Plans in Out-of-Control Situations. Transportation Science, 54(3), 556-853. https://doi.org/10.1287/trsc.2019.0945

    • Lieshout, R., Mulder, J., & Huisman, D. (2018). The vehicle rescheduling problem with retiming. Computers and Operations Research, 96, 131-140. https://doi.org/10.1016/j.cor.2018.04.008

  • Academic (1)
    • Lieshout, R., & Bouman, P. (2018). Vehicle Scheduling Based on a Line Plan. In 18th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2018) (Vol. 65, pp. 15:1-15:14) https://doi.org/10.4230/OASIcs.ATMOS.2018.15

  • Academic (2)
    • Lieshout, R., Bouman, P., van den Akker, ME., & Huisman, D. (2020). A Self-Organizing Policy for Vehicle Dispatching in Public Transit Systems with Multiple Lines. (EI report serie EI2020-06 ed.) Econometric Institute. EI report serie Vol. EI2020-06

    • Lieshout, R. (2019). Integrated Periodic Timetabling and Vehicle Circulation Scheduling. (Econometric Institute Research Papers EI2019-27 ed.) Econometric Institute. http://hdl.handle.net/1765/118702

Research Seminar
As: Speaker


Visiting address

Office: ET-18
Burgemeester Oudlaan 50
3062 PA Rotterdam

Postal address

Postbus 1738
3000 DR Rotterdam