Luuk Veelenturf

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.

Education

• MSc Erasmus University Rotterdam (2008 — 2009)
• BSc Erasmus University Rotterdam (2005 — 2008)
• Gymnasium Minkema College (1999 — 2005)

Publications

Article

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.

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.

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.

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, [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, [103025].

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).

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, [101942].

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Veelenturf, L., Potthoff, D., Huisman, D., & Kroon, LG. (2012). Railway Crew Rescheduling with Retiming. Transportation Research Part C: Emerging Technologies, 20(1), 95-110.