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| Publications:
All, in pictures, or by area of
interest: |
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multi-agent
systems, model
predictive
control, hybrid
systems
multi-vessel systems,
sustainability,
synchromodality
logistics,
intermodal transport,
container transport
transport over water,
control of ships
transportation networks, inter-terminal transport
water
networks,
power networks,
gas
networks |
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Category: Synchromodality |
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| 40. | A learning-based co-planning method with truck and container routing for improved barge departure times. R.B. Larsen, R.R. Negenborn, B. Atasoy. Annals of Operations Research, 2023. Open access.   | | 39. | Synchromodal freight transport re-planning under service time uncertainty: An online model-assisted reinforcement learning. Y. Zhang, R.R. Negenborn, B. Atasoy. Transportation Research Part C: Emerging Technologies, vol. 156, no. 104355, November 2023. Open access. | | 38. | Autonomous ships are on the horizon: here's what we need to know. R.R. Negenborn, F. Goerlandt, T.A. Johansen, P. Slaets, O.A. Valdez Banda, T. Vanelslander, N.P. Ventikos. Nature, vol. 615, no. 7950, pp. 30-33, March 2023. Open access. | | 37. | Collaborative planning for intermodal transport with eco-label preferences. Y. Zhang, A. Heinold, F. Meisel, R.R. Negenborn, B. Atasoy. Transportation Research Part D: Transport and Environment, vol. 112, no. 103470, 2022.  | | 36. | A Logit mixture model estimating the heterogeneous mode choice preferences of shippers based on aggregate data. A. Nicolet, R.R. Negenborn, B. Atasoy. IEEE Open Journal of Intelligent Transportation Systems, vol. 3, pp. 650-661, 2022. Open access. | | 35. | Synchromodal transport planning considering heterogeneous and vague preferences of shippers. Y. Zhang, X. Li, E. van Hassel, R.R. Negenborn, B. Atasoy. Transportation Research Part E: Logistics and Transportation Review, vol. 164, no. 102827, August 2022. Open access. | | 34. | Synchromodal transport planning with flexible services: Mathematical model and heuristic algorithm. Y. Zhang, W. Guo, R.R. Negenborn, B. Atasoy. Transportation Research Part C: Emerging Technologies, vol. 140, no. 103711, 2022. | | 33. | Global synchromodal shipment matching problem with dynamic and stochastic travel times: A reinforcement learning approach. W. Guo, B. Atasoy, R.R. Negenborn. Annals of Operations Research, 2021. | | 32. | Preference-based multi-objective optimization for synchromodal transport. Y. Zhang, B. Atasoy, R.R. Negenborn. Transportation Research Record, 2021. Open access. | | 31. | Global synchromodal transport with dynamic and stochastic shipment matching. W. Guo, B. Atasoy, W.W.A. Beelaerts van Blokland, R.R. Negenborn. Transportation Research Part E: Logistics and Transportation Review, vol. 152, no. 102404, August 2021. Open access. | | 30. | Integrated mode choice and vehicle routing for container transport. R.B. Larsen, J.M. Sprokkereef, B. Atasoy, R.R. Negenborn. In Proceedings of the 24th IEEE Intelligent Transportation Systems Conference (IEEE ITSC'21), Indianapolis, Indiana, pp. 3348-3353, September 2021. | | 29. | Anticipatory approach for dynamic and stochastic shipment matching in hinterland synchromodal transportation. W. Guo, B. Atasoy, W.W.A. Beelaerts van Blokland, R.R. Negenborn. Flexible Services and Manufacturing Journal, 2021. Open access. | | 28. | Secure multi-party co-planning of barge
departures. R.B. Larsen, R. Baksteen, B. Atasoy, R.R. Negenborn. In IFAC PapersOnline 54(2) (IFAC CTS'21), Lille, France, pp. 335-341, June 2021. | | 27. | Revenue management with two fare classes in synchromodal container transportation. B. van Riessen, J. Mulder, R.R. Negenborn, R. Dekker. Flexible Services and Manufacturing, vol. 33, pp. 623-662, 2020. Open access. | | 26. | A global intermodal shipment matching problem under travel time uncertainty. W. Guo, B. Atasoy, W.W.A. Beelaerts van Blokland, R.R. Negenborn. In Proceedings of the 11th International Conference on Computational Logistics (ICCL'20), Enschede, The Netherlands, pp. 553-568, September 2020. | | 25. | Learning-based co-planning for improved container, barge and truck routing. R.B. Larsen, B. Atasoy, R.R. Negenborn. In Proceedings of the 11th International Conference on Computational Logistics (ICCL'20), Enschede, The Netherlands, pp. 476-491, September 2020. | | 24. | Model predictive control for simultaneous planning of container and vehicle routes. R.B. Larsen, B. Atasoy, R.R. Negenborn. European Journal of Control, vol. 57, pp. 273-282, January 2021. | | 23. | A dynamic shipment matching problem in hinterland synchromodal transportation. W. Guo, B. Atasoy, W.W.A. Beelaerts van Blokland, R.R. Negenborn. Decision Support Systems, vol. 134, no. 113289, July 2020. | | 22. | A dynamic and stochastic shipment matching problem in multimodal transportation. W. Guo, B. Atasoy, W.W.A. Beelaerts van Blokland, R.R. Negenborn. Transportation Research Record, pp. 1-12, 2020. | | 21. | Simultaneous planning of container and vehicle-routes using model predictive control. R.B. Larsen, B. Atasoy, R.R. Negenborn. In Proceedings of the 2019 European Control Conference (ECC'19), Naples, Italy, pp. 2177-2182, June 2019. | | 20. | A many-to-one algorithm to solve a many-to-many matching problem for routing. W. Guo, W.W.A. Beelarts van Blokland, R.R. Negenborn. In Proceedings of the 9th International Conference on Computational Logistics (ICCL 2018), Vietri sul Mare, Italy, pp. 279-294, October 2018. | | 19. | Multi-commodity multi-service matching design for container transportation systems. W. Guo, W. Beelaerts van Blokland, G. Lodewijks, R.R. Negenborn. In Proceedings of the 2018 Transportation Research Board Annual Meeting (TRB'18), Washington, D.C., January 2018. | | 18. | The cargo fare class mix problem for an intermodal corridor - Revenue management in synchromodal container transportation. B. van Riessen, R.R. Negenborn, R. Dekker. Flexible Services and Manufacturing Journal, vol. 29, no. 3-4, pp. 634-658, December 2017. Published online: 16 March 2017. | | 17. | Distributed model predictive control for cooperative synchromodal freight transport. L. Li, R.R. Negenborn, B. De Schutter. Transportation Research Part E: Logistics and Transportation Review, vol. 105, pp. 240-260, September 2017. | | 16. | Synchromodal container transportation: an overview of current topics and research opportunities. B. van Riessen, R.R. Negenborn, R. Dekker. In Proceedings of the 6th International Conference on Computational Logistics (ICCL'15), Delft, The Netherlands, pp. 386-397, September 2015. | | 15. | Pricing intermodal freight transport services: A cost-plus-pricing strategy. L. Li, X. Lin, R.R. Negenborn, B. De Schutter. In Proceedings of the 6th International Conference on Computational Logistics (ICCL'15), Delft, The Netherlands, pp. 541-556, September 2015. | | 14. | Cooperative relations among intermodal hubs and transport providers at freight networks using an MPC approach. J.L. Nabais, R.R. Negenborn, R. Carmona-Benitez, M.A. Botto. In Proceedings of the 6th International Conference on Computational Logistics (ICCL'15), Delft, The Netherlands, pp. 478-494, September 2015. | | 13. | Cloud-based intelligent transportation system using Model Predictive Control. L. Heilig, R.R. Negenborn, S. Voss. In Proceedings of the 6th International Conference on Computational Logistics (ICCL'15), Delft, The Netherlands, pp. 464-477, September 2015. | | 12. | Impact and relevance of transit disturbances on planning in intermodal container networks. B. van Riessen, R.R. Negenborn, G. Lodewijks, R. Dekker. Maritime Economics & Logistics, vol. 17, pp. 440-463, December 2015. | | 11. | Intermodal freight transport planning - A receding horizon control approach. L. Li, R.R. Negenborn, B. De Schutter. Transportation Research Part C, vol. 60, pp. 77-95, 2015. | | 10. | Service network design for an intermodal container network with flexible transit times and the possibility of using subcontracted transport. B. van Riessen, R.R. Negenborn, R. Dekker, G. Lodewijks. International Journal of Shipping and Transport Logistics, vol. 7, no. 4, pp. 457-478, 2015. | | 9. | Multi-agent cooperative transport planning of intermodal freight transport. L. Li, R.R. Negenborn, B. De Schutter. In Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems (ITSC 2014), Qingdao, China, pp. 2465-2471, October 2014. | | 8. | Real-time container network planning based on post-optimality analysis using decision trees. B. van Riessen, R.R. Negenborn, R. Dekker. In Proceedings of the International Association of Maritime Economists Conference 2014 (IAME 2014), Norfolk, Virginia, July 2014. | | 7. | Online container transport planning with decision trees based on offline obtained optimal solutions. B. van Riessen, R.R. Negenborn, R. Dekker. In Proceedings of the International Forum on Shipping, Ports and Airports 2014 (IFSPA 2014), Hong Kong, pp. 50-60, May 2014. | | 6. | A receding horizon approach for container flow assignment in intermodal freight transport. L. Li, R.R. Negenborn, B. De Schutter. Transportation Research Record, vol. 2410, pp. 132-140, 2014. | | 5. | A sequential linear programming approach for flow assignment in intermodal freight transport. L. Li, R.R. Negenborn, B. De Schutter. In Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems (IEEE ITSC 2013), The Hague, The Netherlands, pp. 1224-1230, October 2013. | | 4. | Analysis of impact and relevance of transit disturbances in an intermodal container network. B. van Riessen, R.R. Negenborn, R. Dekker, G. Lodewijks. In Proceedings of the 3rd International Conference on Logistics and Maritime Systems (LOGMS 2013), Singapore, September 2013. | | 3. | Service network design for an intermodal container network with flexible due dates/times and the possibility of using subcontracted transport. B. van Riessen, R.R. Negenborn, R. Dekker, G. Lodewijks. In Proceedings of the International Forum on Shipping, Ports and Airports (IFSPA 2013), Hong Kong, pp. 256-265, June 2013. | | 2. | A general framework for modeling intermodal transport networks. L. Li, R.R. Negenborn, B. De Schutter. In Proceedings of the 2013 IEEE International Conference on Networking, Sensing and Control (ICNSC'13), Paris, France, April 2013. Paper 144. | | 1. | Modeling Intermodal Transport Networks -- A general framework. L. Li, R.R. Negenborn, B. De Schutter. In Proceedings of the TRAIL-Beta Congress 2012 --- Mobility & Logistics - Science meets Practice (TRAIL-Beta Congress), Rotterdam, The Netherlands, October 2012. |
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