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Profile

Luuk Veelenturf is an Associate Professor at the Department of Technology and Operations Management. His research interests lie mainly in the area of real-time transport and mobility operations, with a specific focus on public transport planning, railway disruption management, city logistics, vehicle routing & pickup and delivery variants and data-driven transport operations. A large part of Luuk’s research focuses on sustainable transportation and algorithms to support logistics-related decision making. This is increasingly important, as delivery times and volumes increase. As it is impossible to wait until all information has been collected before decisions are made, smart analytics will become more important.  By improving systems and schedules, Luuk aims to make public transport a more attractive and sustainable alternative to car transportation and make city logistics more efficient, thereby reducing CO2 emissions and congestion.

Publications

Academic (23)
  • Karels, V. C. G., Rei, W., Veelenturf, L. P., & Van Woensel, T. (2024). A vehicle routing problem with multiple service agreements. European Journal of Operational Research, 313(1), 129-145. https://doi.org/10.1016/j.ejor.2023.07.029

  • 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

  • Özarık, S. S., Lurkin, V., Veelenturf, L. P., Van Woensel, T., & Laporte, G. (2023). An Adaptive Large Neighborhood Search heuristic for last-mile deliveries under stochastic customer availability and multiple visits. Transportation Research Part B: Methodological, 170, 194-220. https://doi.org/10.1016/j.trb.2023.02.016

  • Yao, Y., Van Woensel, T., Veelenturf, L. P., & Mo, P. (2021). The consistent vehicle routing problem considering path consistency in a road network. Transportation Research Part B: Methodological, 153, 21-44. https://doi.org/10.1016/j.trb.2021.09.005

  • Hong, X., Meng, L., Corman, F., D’ariano, A., Veelenturf, L. P., & Long, S. (2021). Robust capacitated train rescheduling with passenger reassignment under stochastic disruptions. Transportation Research Record, (12), 214-232. https://doi.org/10.1177/03611981211028594

  • Mo, P., D'Ariano, A., Yang, L., Veelenturf, L. P., & Gao, Z. (2021). An exact method for the integrated optimization of subway lines operation strategies with asymmetric passenger demand and operating costs. Transportation Research Part B: Methodological, 149, 283-321. https://doi.org/10.1016/j.trb.2021.05.009

  • Özarık, S. S., Veelenturf, L. P., Woensel, T. V., & Laporte, G. (2021). Optimizing e-commerce last-mile vehicle routing and scheduling under uncertain customer presence. Transportation Research Part E: Logistics and Transportation Review, 148, Article 102263. https://doi.org/10.1016/j.tre.2021.102263

  • Hong, X., Meng, L., D'Ariano, A., Veelenturf, L. P., Long, S., & Corman, F. (2021). Integrated optimization of capacitated train rescheduling and passenger reassignment under disruptions. Transportation Research Part C: Emerging Technologies, 125, Article 103025. https://doi.org/10.1016/j.trc.2021.103025

  • Sampaio, AH., Savelsbergh, M., Veelenturf, L., & Van Woensel, T. (2020). Delivery systems with crowd-sourced drivers: A pickup and delivery problem with transfers. Networks, 76(2), 232-255. https://doi.org/10.1002/net.21963

  • Sun, P., Veelenturf, L., Hewitt, M., & Van Woensel, T. (2020). Adaptive large neighborhood search for the time-dependent profitable pickup and delivery problem with time windows. Transportation Research Part E: Logistics and Transportation Review, 138, Article 101942. https://doi.org/10.1016/j.tre.2020.101942

  • Karels, VCG., Veelenturf, L., & Van Woensel, T. (2020). An auction for collaborative vehicle routing: Models and algorithms. EURO Journal on transportation and logistics, 9(2). https://doi.org/10.1016/j.ejtl.2020.100009

  • Tang, CS., & Veelenturf, L. (2019). The strategic role of logistics in the industry 4.0 era. Transportation Research Part E: Logistics and Transportation Review, 129, 1-11. https://doi.org/10.1016/j.tre.2019.06.004

  • Farahani, MM., Chaharsooghi, SK., Van Woensel, T., & Veelenturf, L. (2018). Capacitated network-flow approach to the evacuation-location problem. Computers and Industrial Engineering, 115, 407-426. https://doi.org/10.1016/j.cie.2017.11.026

  • Sun, P., Veelenturf, L., Dabia, S., & Van Woensel, T. (2018). The time-dependent capacitated profitable tour problem with time windows and precedence constraints. European Journal of Operational Research, 264(3), 1058-1073. https://doi.org/10.1016/j.ejor.2017.07.004

  • Sun, P., Veelenturf, L., Hewitt, M., & Van Woensel, T. (2018). The time-dependent pickup and delivery problem with time windows. Transportation Research Part B: Methodological, 116, 1-24. https://doi.org/10.1016/j.trb.2018.07.002

  • Veelenturf, L., Kroon, LG., & Maroti, G. (2017). Passenger oriented railway disruption management by adapting timetables and rolling stock schedules. Transportation Research Part C: Emerging Technologies, 80, 133-147. https://doi.org/10.1016/j.trc.2017.04.012

  • Dollevoet, T., Huisman, D., Kroon, LG., Veelenturf, L., & Wagenaar, J. (2017). Application of an Iterative Framework for Real-time Railway Rescheduling. Computers and Operations Research, 78, 203-217. https://doi.org/10.1016/j.cor.2016.08.011

  • Veelenturf, L., Cacchiani, V., Kidd, M., Kroon, LG., & Toth, P. (2016). A railway timetable rescheduling approach for handling large scale disruptions. Transportation Science, 50(3), 841-862. https://doi.org/10.1287/trsc.2015.0618

  • Veelenturf, L., Potthoff, D., Huisman, D., Kroon, LG., Maroti, G., & Wagelmans, A. (2016). A Quasi-Robust Optimization Approach for Crew Rescheduling. Transportation Science, 50(1), 204-215. https://doi.org/10.1287/trsc.2014.0545

  • Haahr, JT., Veelenturf, L., Wagenaar, J., & Kroon, LG. (2016). A Comparison of Two Exact Methods for Passenger Railway Rolling Stock (Re)Scheduling. Transportation Research Part E: Logistics and Transportation Review, 91, 15-32. https://doi.org/10.1016/j.tre.2016.03.019

  • Zhan, S., Kroon, LG., Veelenturf, L., & Wagenaar, J. (2015). Real-Time High-Speed Train Rescheduling in Case of A Complete Blockage. Transportation Research Part B: Methodological, 78, 182-201. https://doi.org/10.1016/j.trb.2015.04.001

  • Cacchiani, V., Huisman, D., Kroon, LG., Kidd, M., Toth, P., Veelenturf, L., & Wagenaar, J. (2014). An Overview of Recovery Models and Algorithms for Real-time Railway Rescheduling. Transportation Research Part B: Methodological, 63, 15-37. https://doi.org/10.1016/j.trb.2014.01.009

  • Veelenturf, L., Potthoff, D., Huisman, D., & Kroon, LG. (2012). Railway Crew Rescheduling with Retiming. Transportation Research Part C: Emerging Technologies, 20(1), 95-110. https://doi.org/10.1016/j.trc.2010.09.008

Academic (1)

Academic (4)
  • Hong, X., Meng, L., Zhang, P., Zhao, F., D'Ariano, A., Veelenturf, L. P., & Corman, F. (2020). Timetable Rescheduling with Reassignment of Rolling Stocks and Passengers under Disruptions. In 2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020 Article 9294675 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC45102.2020.9294675

  • Singh, PM., Veelenturf, L., & Van Woensel, T. (2020). Modeling Complex Business Environments for Context Aware Systems. In Enterprise, Business-Process and Information Systems Modeling. (Vol. 387, pp. 242-256). Springer-Verlag. https://doi.org/10.1007/978-3-030-49418-6_16

  • Hao, W., Meng, L., Veelenturf, L., Long, S., Corman, F., & Niu, X. (2019). Optimal reassignment of passengers to trains following a broken train. In 2018 International Conference on Intelligent Rail Transportation, ICIRT 2018 Article 8641524 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIRT.2018.8641524

  • Veelenturf, L., Kroon, LG., Maroti, G., & Nielsen, LK. (2012). Passenger Oriented Disruption Management in Railways. In S. Voss, & J. C. Munoz (Eds.), CASPT CASPT.

Internal (1)
  • Veelenturf, L. (2014). Disruption Management in Passenger Railways. [Doctoral Thesis, Erasmus University Rotterdam]. Erasmus University Rotterdam (EUR).

Academic (1)
  • Pel, J., Agatz, N., Macharis, C., & Veelenturf, L. (2018). Technologies and control for sustainable transportation. Transportation Research Part C: Emerging Technologies, 86, 168-170. https://doi.org/10.1016/j.trc.2017.11.006

Academic (4)
  • Dollevoet, T., Huisman, D., Kroon, LG., Veelenturf, L., & Wagenaar, J. (2015). An Iterative Framework for Real-time Railway Rescheduling. (EI report serie EI2015-28 ed.) Econometric Institute. EI report serie Vol. EI2015-28

  • Cacchiani, V., Huisman, D., Kidd, M., Kroon, LG., Toth, P., Veelenturf, L., & Wagenaar, J. (2014). An Overview of Recovery Models and Algorithms for Real-Time Railway Rescheduling. (EI reprint reeks EI-1617 ed.) Econometric Institute. EI reprint reeks Vol. EI-1617

  • Cacchiani, V., Huisman, D., Kidd, M., Kroon, LG., Toth, P., Veelenturf, L., & Wagenaar, J. (2013). An Overview of Recovery Models and Algorithms for Real-Time Railway Rescheduling. (EI report serie EI 2013-29 ed.) Econometric Institute. EI report serie Vol. EI 2013-29

  • Veelenturf, L., Potthoff, D., Huisman, D., & Kroon, LG. (2009). Railway crew rescheduling with retiming. (EI report reeks EI 2009-24 ed.) DEPARTMENT OF ECONOMETRICS. EI report reeks Vol. EI 2009-24

Courses

Mathematics

  • Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021
  • Code: BK1204
  • Level: Bachelor 1

Decision Science & Operations PT

  • Study year: 2023/2024, 2022/2023
  • Code: BM27MIM-P
  • ECTS: 6 Level: Master

OLD STYLE - Research Methods and Skills

  • Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021
  • Code: BMRM3SCM
  • Level: Master

Mathematics

  • Study year: 2023/2024, 2022/2023, 2021/2022, 2020/2021
  • Code: BT1204
  • Level: Bachelor 1, Bachelor 1

Past courses

BSc Project Analytical Decision-Makers

  • Study year: 2022/2023
  • Code: B3T1103
  • Level: Bachelor 3, Bachelor 3, Bachelor 3

Business Analytics Workshop

  • Study year: 2021/2022, 2020/2021
  • Code: BM09BAM
  • Level: Master

Data Engineering & Management

  • Study year: 2021/2022
  • Code: B3T1101
  • Level: Bachelor 3, Bachelor 3, Bachelor 3

Data Modelling & Analytics

  • Study year: 2021/2022
  • Code: B3T1102
  • Level: Bachelor 3, Bachelor 3, Bachelor 3

Decision Science & Operations PT

  • Study year: 2021/2022, 2020/2021
  • Code: BM15MIM-P
  • ECTS: 6 Level: Master

Prescriptive Analytics

  • Study year: 2021/2022
  • Code: B3T1104
  • Level: Bachelor 3, Bachelor 3, Bachelor 3

Supply Chain Management

  • Study year: 2021/2022, 2020/2021
  • Code: BT2110
  • Level: Bachelor 2, Bachelor 3, Pre-master

Besliskunde

  • Study year: 2020/2021
  • Code: BP1105
  • ECTS: 4

Business Information Management

  • Study year: 2020/2021
  • Code: BAD14
  • Level: Bachelor 3, Bachelor 3, Pre-master

Business Information Management

  • Study year: 2020/2021
  • Code: BT1213
  • Level: Bachelor 1, Bachelor 3, Pre-master

Informatiemanagement

  • Study year: 2020/2021
  • Code: BK1213
  • Level: Bachelor 1, Pre-master

SCM Honours Class

  • Study year: 2020/2021
  • Code: BMHONSCM
  • ECTS: 8 Level: Master

Supply chain management

  • Study year: 2020/2021
  • Code: BK2110
  • Level: Bachelor 2, Pre-master

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