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Profile

Marie Schmidt is an associate professor in the Department of Technology and Operations  Management at Rotterdam School of Management, Erasmus University Rotterdam.

 

Marie"s research interests lie inpublic transportation analytics, decision-making under uncertainty (in particular robust optimization), and  multi-criteria optimization.

Publications

Academic (32)
  • Correia Duarte, P. J., Schmidt, M., Huisman, D., & Veelenturf, L. (2023). Fewer Trains for Better Timetables: The Price of Fixed Line Frequencies in the Passenger-Oriented Timetabling Problem. OpenAccess Series in Informatics, 115, 1-18. Article 8. https://doi.org/10.4230/OASIcs.ATMOS.2023.8

  • Huisman, D., Schmidt, M., Hartleb, J., & Friedrich, M. (2023). Modeling and Solving Line Planning with Mode Choice. Transportation Science, 57(2), 336-350. https://doi.org/10.1287/trsc.2022.1171

  • Polinder, G. J., Cacchiani, V., Schmidt, M., & Huisman, D. (2022). An iterative heuristic for passenger-centric train timetabling with integrated adaption times. Computers and Operations Research, 142, Article 105740. https://doi.org/10.1016/j.cor.2022.105740

  • Hartleb, J., & Schmidt, M. (2022). Railway timetabling with integrated passenger distribution. European Journal of Operational Research, 298(3), 953-966. https://doi.org/10.1016/j.ejor.2021.06.025, https://doi.org/10.1016/j.ejor.2021.06.025

  • Gkiotsalitis, K., Schmidt, M., & van der Hurk, E. (2022). Subline frequency setting for autonomous minibusses under demand uncertainty. Transportation Research Part C: Emerging Technologies, 135, Article 103492. https://doi.org/10.1016/j.trc.2021.103492

  • Polinder, G.-J., Schmidt, M., & Huisman, D. (2021). Timetabling for strategic passenger railway planning. Transportation Research. Part B, Methodological, 146, 111-135. https://doi.org/10.1016/j.trb.2021.02.006

  • Jensen, LW., Schmidt, M., & Nielsen, OA. (2020). Determination of infrastructure capacity in railway networks without the need for a fixed timetable. Transportation Research. Part C, Emerging Technologies, 119. https://doi.org/10.1016/j.trc.2020.102751

  • Liu, P., Schmidt, M., Kong, C., Wagenaar, J., Yang, L., & Gao, Z. (2020). A Robust and Energy-Efficient Train Timetable for the Subway System. Transportation Research. Part C, Emerging Technologies, 121, Article 102822. https://doi.org/10.1016/j.trc.2020.102822

  • Gao, Y., Schmidt, M., Yang, L., & Gao, Z. (2019). A branch-and-price approach for trip sequence planning of high-speed train units. Omega, 92, Article 102150. https://doi.org/10.1016/j.omega.2019.102150

  • Schiewe, A., Schiewe, P., & Schmidt, M. (2019). The line planning routing game. European Journal of Operational Research, 274(2), 560-573. https://doi.org/10.1016/j.ejor.2018.10.023

  • Schmidt, M., Schoebel, A., & Thom, L. (2019). Min-ordering and max-ordering scalarization methods for multi-objective robust optimization. European Journal of Operational Research, 275(2), 446-459. https://doi.org/10.1016/j.ejor.2018.11.048

  • Bouman, P., Agatz, N., & Schmidt, M. (2018). Dynamic Programming Approaches for the Traveling Salesman Problem with Drone. Networks, 72(4), 528-542. https://doi.org/10.1002/net.21864

  • Raith, A., Schmidt, M., Schoebel, A., & Thom, L. (2018). Extensions of Labeling Algorithms For Multi-Objective Uncertain Shortest Path Problems. Networks, 72(1), 84-127. https://doi.org/10.1002/net.21815

  • Perederieieva, O., Raith, A., & Schmidt, M. (2018). Non-Additive Shortest Paths in the Context of Traffic Assignment. European Journal of Operational Research, 268(1), 325-338. https://doi.org/10.1016/j.ejor.2018.01.017

  • Agatz, N., Bouman, P., & Schmidt, M. (2018). Optimization Approaches for the Traveling Salesman Problem with Drone. Transportation Science, 52(4), 965-981. https://doi.org/10.1287/trsc.2017.0791

  • Raith, A., Schmidt, M., Schoebel, A., & Thom, L. (2017). Multi-objective minmax robust combinatorial optimization with cardinality-constrained uncertainty. European Journal of Operational Research, 267(2), 628-642. https://doi.org/10.1016/j.ejor.2017.12.018

  • Harbering, J., Ranade, A., Schmidt, M., & Sinnen, O. (2017). Complexity, bounds and dynamic programming algorithms for single track train scheduling. Annals of Operations Research, 273(1-2), 479-500. https://doi.org/10.1007/s10479-017-2644-7

  • Wagenaar, J., Kroon, LG., & Schmidt, M. (2017). Maintenance Appointments in Railway Rolling Stock Rescheduling. Transportation Science, 51(4), 1138-1160. https://doi.org/10.1287/trsc.2016.0701

  • Schmidt, M., Kroon, LG., Schoebel, A., & Bouman, P. (2017). The Traveler’s Route Choice Problem under Uncertainty: Dominance Relations between Strategies. Operations Research, 65(1), 184-199. https://doi.org/10.1287/opre.2016.1564

  • Jensen, LW., Landex, A., Nielsen, OA., Kroon, LG., & Schmidt, M. (2017). Strategic Assessment of capacity consumption in railway networks: Framework and Model. Transportation Research. Part C, Emerging Technologies, 74, 126-149. https://doi.org/10.1016/j.trc.2016.10.013

  • Manitz, J., Harbering, J., Schmidt, M., Kneib, T., & Schöbel, A. (2017). Source estimation for propagation processes on complex networks with an application to delays in public transportation systems. Journal of the Royal Statistical Society. Series C, Applied Statistics, 66(3), 521-536. https://doi.org/10.1111/rssc.12176

  • Schmidt, M., & Voss, S. (2017). Advanced systems in public transport. Public Transport, 9(1-2), 3-6. https://doi.org/10.1007/s12469-017-0165-z

  • Schmidt, M., & Goerigk, M. (2016). Line planning with user-optimal route choice. European Journal of Operational Research, 259(2), 424-436. https://doi.org/10.1016/j.ejor.2016.10.034

  • Kuhn, K., Raith, A., Schmidt, M., & Schöbel, A. (2016). Bi-objective robust optimization. European Journal of Operational Research, 252(2), 418-431. https://doi.org/10.1016/j.ejor.2016.01.015

  • Gao, Y., Kroon, LG., Schmidt, M., & Yang, L. (2016). Rescheduling a metro line in an over-crowded situation after disruptions. Transportation Research. Part B, Methodological, 93(Part A), 425-449. https://doi.org/10.1016/j.trb.2016.08.011

  • Schmidt, M., & Schöbel, A. (2015). The Complexity of integrating passenger routing decisions in public transportation models. Networks, 65(3), 228-243. https://doi.org/10.1002/net.21600

  • Schmidt, M., & Schöbel, A. (2015). Timetabling with Passenger Routing. OR Spectrum, 37(1), 75-97. https://doi.org/10.1007/s00291-014-0360-0

  • Dollevoet, T., Huisman, D., Kroon, LG., Schmidt, M., & Schöbel, A. (2015). Delay Management including Capacities of Stations. Transportation Science, 49(2), 185-203. https://doi.org/10.1287/trsc.2013.0506

  • Schmidt, M., & Schöbel, A. (2014). Location of speed-up networks. Annals of Operations Research, 223(1), 379-401. https://doi.org/10.1007/s10479-014-1628-0

  • Goerigk, M., Knoth, M., Müller-Hannemann, M., Schmidt, M., & Schöbel, A. (2014). The Price of Strict and Light Robustness in Timetable Information. Transportation Science, 48, 225-242. https://doi.org/10.1287/trsc.2013.0470

  • Schmidt, M. (2013). Simultaneous Optimization of Delay Management Decisions and Passenger Routes. Public Transport, 5(1), 125-147. https://doi.org/10.1007/s12469-013-0069-5

  • Dollevoet, T., Huisman, D., Schmidt, M., & Schöbel, A. (2012). Delay Management with Rerouting of Passengers. Transportation Science, 46(1), 74-89. https://doi.org/10.1287/trsc.1110.0375

Academic (2)
  • Schmidt, M. (2014). Integrating Routing Decisions in Public Transportation Problems. (Optimization and Its Applications 89 ed.) Springer-Verlag. Optimization and Its Applications Vol. 89

  • Schmidt, M. (2014). Integrating Routing Decisions in Network Problems. Springer-Verlag. https://doi.org/10.1007/978-1-4614-9566-6

Academic (1)
  • Dollevoet, T., Huisman, D., Schmidt, M., & Schoebel, A. (2018). Delay propagation and delay management in transportation networks. In R. Borndörfer, T. Klug, L. Lamorgese, C. Mannino, M. Reuther, & T. Schlechte (Eds.), Handbook of Optimization in the Railway Industry (pp. 285-317). Springer-Verlag. https://doi.org/10.1007/978-3-319-72153-8_13

Academic (11)
  • Hartleb, J., & Schmidt, M. (2020). A Rolling Horizon Heuristic with Optimality Guarantee for an On-Demand Vehicle Scheduling Problem. In D. Huisman, & C. D. Zaroliagis (Eds.), Proceedings of the 20th Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2020) (Vol. 85, pp. 15:1-15:18)

  • Polinder, G.-J., Schmidt, M., & Huisman, D. (2019). A New Approach to Strategic Periodic Railway Timetabling. In 8th International Conference on Railway Operations Modelling and Analysis (ICROMA) (Vol. 2019, pp. 978-994). Linköping University Electronic Press, Linköpings universitet.

  • Harbering, J., Ranade, A., & Schmidt, M. (2015). Single-Track Train Scheduling. In Proceedings of MISTA 2015

  • Goerigk, M., Heße, S., Müller-Hannemann, M., Schmidt, M., & Schöbel, A. (2013). Recoverable Robust Timetable Information. In 13th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (Vol. 33, pp. 1-14). Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik.

  • Bouman, P., Kroon, LG., Schmidt, M., & Schöbel, A. (2013). Passenger Route Choice in Case of Disruptions. In Proceedings of the 16th International IEEE Conference on Intelligent Transport Systems

  • Bouman, P., Schmidt, M., Kroon, L., & Schobel, A. (2013). Passenger route choice in case of disruptions. In 2013 16th International IEEE Conference on Intelligent Transportation Systems: Intelligent Transportation Systems for All Modes, ITSC 2013 (pp. 1047-1052). Article 6728370 https://doi.org/10.1109/ITSC.2013.6728370

  • Dollevoet, T., Schmidt, M., & Schöbel, A. (2011). Delay Management including Capacities of Stations. In Alberto Caprara, & Spyros Kontogiannis (Eds.), 11th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (Vol. 20, pp. 88-99). Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik. https://doi.org/10.4230/OASIcs.ATMOS.2011.88

  • Goerigk, M., Knoth, M., Müller-Hannemann, M., Schmidt, M., & Schöbel, A. (2011). The Price of Robustness in Timetable Information. In 11th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (Vol. 20, pp. 76-87). Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik.

  • Schmidt, M., & Schöbel, A. (2010). The Complexity of Integrating Routing Decisions in Public Transportation Models. In Proceedings of ATMOS10 (Vol. 14, pp. 156-169). Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik.

  • Dollevoet, T., Huisman, D., Schmidt, M., & Schöbel, A. (2009). Delay management with re-routing of passengers. In 9th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems, ATMOS 2009

  • Dollevoet, T., Huisman, D., Schmidt, M., & Schöbel, A. (2009). Delay Management with Re-Routing of Passengers. In Jens Clausen, & Gabriele Di Stefano (Eds.), ATMOS 2009 - 9th Workshop on Algorithmic Approaches for Transportation Modeling, Optimization, and Systems Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, Germany.

Professional (1)
  • Schmidt, M., Goerigk, M., Müller-Hannemann, M., & Schöbel, A. (2015). Robuste Fahrplanauskunft. In Strassenverkehrstechnik, 59 (39) (Vol. 59, pp. 147-155)

Academic (1)
  • Schmidt, M., Gkiotsalitis, K., & Rodríguez-Martín, I. (2021). Preface: Public transport planning in the face of uncertainty. EURO Journal on Transportation and Logistics, 10, Article 100035. https://doi.org/10.1016/j.ejtl.2021.100035

Academic (1)
  • Hartleb, J., Schmidt, M., Friedrich, M., & Huisman, D. (2019). A good or a bad timetable: Do different evaluation functions agree?. http://hdl.handle.net/1765/115831

Academic (5)
  • Hartleb, J., Schmidt, M., Huisman, D., & Friedrich, M. (2021). Modeling and solving line planning with integrated mode choice. SSRN. https://doi.org/10.2139/ssrn.3849985

  • Hartleb, J., & Schmidt, M. (2019). Railway Timetabling with Integrated Passenger Distribution. Erasmus Research Institute of Management (ERIM). https://doi.org/10.2139/ssrn.3505167

  • Polinder, G.-J., Kroon, LG., Aardal, KI., Schmidt, M., & Molinaro, M. (2019). Resolving infeasibilities in railway timetabling instances. ERIM. ERIM Report Series Research in Management http://hdl.handle.net/1765/104083

  • Schmidt, M., Kroon, LG., Schöbel, A., & Bouman, P. (2014). The Traveler’s Route Choice Problem under Uncertainty: Dominance Relations between Strategies. Institute for Numerical and Applied Mathematics Göttingen Preprint Series.

  • Schmidt, M., Kroon, LG., Schöbel, A., & Bouman, P. (2014). The Traveler’s Route Choice Problem under Uncertainty: Dominance Relations between Strategies. Preprint Series Institute for Numerical and Applied Mathematics, University of Goettingen.

  • EURO Journal on transportation and logistics (Journal)

    Editorial work (Academic)

  • Public Transport (Journal)

    Editorial work (Academic)

Courses

Past courses

OLD STYLE - Research Methods and Skills

  • Study year: 2022/2023, 2021/2022, 2020/2021
  • Code: BMRM3SCM
  • Level: Master

Distribution Networks

  • Study year: 2021/2022, 2020/2021
  • Code: BM06SCM
  • Level: ERIM, Exchange, IM/CEMS, Master

Mathematics

  • Study year: 2021/2022, 2020/2021
  • Code: BK1204
  • Level: Bachelor 1

Mathematics

  • Study year: 2021/2022, 2020/2021
  • Code: BT1204
  • Level: Bachelor 1, Bachelor 1

OLD STYLE - Distribution Networks

  • Study year: 2021/2022, 2020/2021, 2019/2020
  • Code: BM03SCM
  • ECTS: 4 Level: Master

Supply Chain Simulation

  • Study year: 2020/2021, 2019/2020, 2017/2018, 2016/2017
  • Code: BMME069
  • ECTS: 6 Level: Master, Master, Master, Master

Mathematics

  • Study year: 2019/2020
  • Code: BK1104
  • Level: Bachelor 1

Mathematics

  • Study year: 2019/2020, 2018/2019, 2017/2018
  • Code: BKB004

Mathematics

  • Study year: 2019/2020
  • Code: BT1104
  • Level: Bachelor 1, Bachelor 1

Quant. Methods & Techniques: Mathematics

  • Study year: 2019/2020, 2018/2019, 2017/2018, 2014/2015
  • Code: BAP053

SCM Honours Programme

  • Study year: 2019/2020, 2018/2019
  • Code: BMHONSCM
  • ECTS: 8 Level: Master

Advances in SCM

  • Study year: 2017/2018
  • Code: BMHON-SCM-A
  • ECTS: 4 Level: Master

Advances in SCM

  • Study year: 2017/2018
  • Code: BMHONSCM-A
  • ECTS: 6 Level: Master

Mathematics

  • Study year: 2016/2017, 2015/2016
  • Code: BKB075
  • ECTS: 4 Level: Bachelor 1

Quant. Methods & Techniques: Mathematics

  • Study year: 2016/2017, 2015/2016
  • Code: BAP075
  • ECTS: 4 Level: Bachelor 1, Bachelor 1

Supply chain simulation

  • Study year: 2014/2015
  • Code: RSMME064
  • ECTS: 6 Level: Master

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