dr. L.P. (Luuk) Veelenturf

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

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

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

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

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

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

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

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., 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

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

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

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

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