Dr. P.C. (Paul) Bouman

Paul Bouman
Erasmus School of Economics (ESE)
Erasmus University Rotterdam
Member ERIM
Field: Logistics & Information Systems
Affiliated since 2011

Operations Research, Programming, Artificial Intelligence, Public Transportation

Publications

  • Academic (8)
    • van Lieshout, R., Bouman, P., van den Akker, M., & Huisman, D. (2021). A self-organizing policy for vehicle dispatching in public transit systems with multiple lines. Transportation Research Part B: Methodological, 152, 46-64. https://doi.org/10.1016/j.trb.2021.08.004

    • van Lieshout, R. N., Bouman, P. C., & Huisman, D. (2021). A next step in disruption management: combining operations research and complexity science. Public Transport, 14(1), 5-26. 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

    • 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

    • 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

    • 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

    • Bouman, P., Kroon, LG., Vervest, P., & Maroti, G. (2017). Capacity, information and minority games in public transport. Transportation Research. Part C, Emerging Technologies, 70, 157-170. https://doi.org/10.1016/j.trc.2016.05.007

    • van den Akker, JM., Bouman, P., Hoogeveen, JA., & Tönissen, DD. (2016). Decomposition approaches for recoverable robust optimization problems. European Journal of Operational Research, 251(3), 739-750. https://doi.org/10.1016/j.ejor.2015.12.008

  • Academic (1)
    • Bouman, P., & Lovric, M. (2016). Rotterdam: Revenue Management in Public Transportation with Smart-Card Data Enabled Agent-Based Simulations. In A. Horni, K. Nagel, & K. W. Axhausen (Eds.), The Multi-Agent Transport Simulation MATSim (pp. 477-480). Ubiquity Press. https://doi.org/10.5334/baw.81

  • Academic (2)
    • Bouman, P., Kroon, L., Li, T., & Vervest, P. (2013). Detecting activity patterns from smart card data. Belgian/Netherlands Artificial Intelligence Conference, 9-16.

    • Bouman, P., Lovric, M., Li, T., Kroon, L., & Vervest, P. (2012). Recognizing demand patterns from smart card data for agent-based micro-simulation of public transport. Belgian/Netherlands Artificial Intelligence Conference.

  • Popular (1)
    • Bouman, P. C. (2011). Recoverable robustness by column generation. Belgian/Netherlands Artificial Intelligence Conference.

  • Academic (8)
    • Wagenvoort, M., Ee, M. V., Bouman, P., & Malone, K. M. (2023). Simple Policies for Capacitated Resupply Problems. In D. Frigioni, & P. Schiewe (Eds.), 23rd Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems, ATMOS 2023 Article 18 Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. https://doi.org/10.4230/OASIcs.ATMOS.2023.18

    • Bouman, P., Schiewe, A., & Schiewe, P. (2020). A New Sequential Approach to Periodic Vehicle Scheduling and Timetabling. In D. Huisman, & C. D. Zaroliagis (Eds.), 20th Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems, ATMOS 2020 (Vol. 85, pp. 1-16). Article 6 Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. https://doi.org/10.4230/OASIcs.ATMOS.2020.6

    • van 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

    • 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

    • Hurk, E., Kroon, LG., Maroti, G., Bouman, P., & Vervest, P. (2013). Network reduction and dynamic forecasting of passenger flows for disruption management. In Proceedings of Rail Copenhagen Conference

    • 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., Lovric, M., Li, T., Hurk, E., Kroon, LG., & Vervest, P. (2012). Recognizing Demand Patterns from Smart Card Data for Agent-Based Micro-simulation of Public Transport. In M. Vasirani, E. Camponogara, H. Hiromitsu, & F. Klügl (Eds.), Proceedings of the 7th Workshop on Agents in Traffic and Transportation

    • Bouman, P., van den Akker, JM., & Hoogeveen, JA. (2011). Recoverable Robustness by Column Generation. In C. Demetrescu, & M. M. Halldorsson (Eds.), Algorithms -- ESA 2011 (Vol. 6942, pp. 215-226). Springer-Verlag. https://doi.org/10.1007/978-3-642-23719-5_19

  • Internal (1)
    • Bouman, P. (2017). Passengers, Crowding and Complexity : Models for passenger oriented public transport. [Doctoral Thesis, Erasmus University Rotterdam]. Erasmus Universiteit Rotterdam (EUR).

  • Academic (1)
    • van 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

  • Academic (3)
    • Wagenvoort, M., Bouman, P., van Ee, M., Lamballais Tessensohn, T., & Postek, K. (2022). An Exact and Heuristic Approach for the Ship-to-Shore Problem. Econometric Institute, EUR. Econometric Institute Research Papers No. EI 2022-05

    • 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.

    • 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.

  • Role: Daily Supervisor
  • PhD Candidate: Rolf van Lieshout
  • Time frame: 2017 - 2022
  • Role: Co-promotor
  • PhD Candidate: Mette Wagenvoort
  • Time frame: 2020 -
2017
June
15
PhD Defence
As: Speaker
2012
March
02
Research Seminar
As: Speaker

Address

Visiting address

Office: ET-10
Burgemeester Oudlaan 50
3062 PA Rotterdam

Postal address

Postbus 1738
3000 DR Rotterdam
Netherlands