dr. (Paul) P.C. Bouman

Assistant Professor Erasmus School of Economics Econometrics
- Location
- Erasmus University Rotterdam
- Room
- E T-10
- Telephone
- +31 10 4081260
- bouman@ese.eur.nl
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Profile
Operations Research, Programming, Artificial Intelligence, Public Transportation
Operations Research, Programming, Artificial Intelligence, Public Transportation
- P.C. Bouman, N.A.H. Agatz & M.E. Schmidt (2018). Dynamic Programming Approaches for the Traveling Salesman Problem with Drone. Networks, 72 (4), 528-542. doi: 10.1002/net.21864
- N.A.H. Agatz, P.C. Bouman & M.E. Schmidt (2018). Optimization Approaches for the Traveling Salesman Problem with Drone. Transportation Science, 52 (4), 965-981. doi: 10.1287/trsc.2017.0791
- P.C. Bouman, L.G. Kroon, P.H.M. Vervest & G. Maroti (2017). Capacity, information and minority games in public transport. Transportation Research. Part C, Emerging Technologies, 70, 157-170. doi: 10.1016/j.trc.2016.05.007
- M.E. Schmidt, L.G. Kroon, A. Schoebel & P.C. Bouman (2017). The Traveler’s Route Choice Problem under Uncertainty: Dominance Relations between Strategies. Operations Research, 65 (1), 184-199. doi: 10.1287/opre.2016.1564
- J.M. van den Akker, P.C. Bouman, J.A. Hoogeveen & D.D. Tönissen (2016). Decomposition approaches for recoverable robust optimization problems. European Journal of Operational Research, 251 (3), 739-750. doi: 10.1016/j.ejor.2015.12.008
- P.C. Bouman & M. Lovric (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). London: Ubiquity Press
- M.E. Schmidt, L.G. Kroon, A. Schöbel & P.C. Bouman (2014). The Traveler’s Route Choice Problem under Uncertainty: Dominance Relations between Strategies. (Preprints). : Preprint Series Institute for Numerical and Applied Mathematics, University of Goettingen
- M.E. Schmidt, L.G. Kroon, A. Schöbel & P.C. Bouman (2014). The Traveler’s Route Choice Problem under Uncertainty: Dominance Relations between Strategies. (Preprints). : Institute for Numerical and Applied Mathematics Göttingen Preprint Series
- P.C. Bouman, L.G. Kroon, M.E. Schmidt & A. Schöbel (2013). Passenger Route Choice in Case of Disruptions. In Proceedings of the 16th International IEEE Conference on Intelligent Transport Systems
- E. van der Hurk, L.G. Kroon, G. Maroti, P.C. Bouman & P.H.M. Vervest (2013). Network reduction and dynamic forecasting of passenger flows for disruption management. In Proceedings of Rail Copenhagen Conference
- P.C. Bouman, M. Lovric, Ting Li, E. van der Hurk, L.G. Kroon & P.H.M. Vervest (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. Valencia
- P.C. Bouman, J.M. van den Akker & J.A. Hoogeveen (2011). Recoverable Robustness by Column Generation. In C. Demetrescu & M.M. Halldorsson (Eds.), Algorithms -- ESA 2011 Vol. 6942. Lecture Notes in Computer Science (pp. 215-226). Springer
- P.C. Bouman, N.A.H. Agatz & M.E. Schmidt (2015). TSP-D-Instances: Instances and some solutions. Zenodo [Dataset]. doi:10.5281/zenodo.35042.
- P.C. Bouman (2017, juni 15). Passengers, Crowding and Complexity : Models for passenger oriented public transport. EUR (202 pag.) Prom./coprom.: prof.dr. L.G. Kroon, A. Schoebel & prof.mr.dr. P.H.M. Vervest.
ICT
- Title
- ICT
- Year
- 2018
- Year level
- (bachelor 1) (bachelor 1) (bachelor 1)
ICT (IBEB)
- Title
- ICT (IBEB)
- Year
- 2018
- Year level
- (bachelor 1)
Programmeren
- Title
- Programmeren
- Year
- 2018
- Year level
- (bachelor 2)
Programming
- Title
- Programming
- Year
- 2018
- Year level
- (bachelor 2) (bachelor 2)
Rolf van Lieshout
Improving the Resilience of Railway Systems
Assistant Professor
- University
- Erasmus University Rotterdam
- School
- Erasmus School of Economics
- Department
- Econometrics
- Country
- Nederland
- Telephone
- +31 10 4081260