Publications       Rudy Negenborn
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Synchromodal freight transport re-planning under service time uncertainty: An online model-assisted reinforcement learning


"The objective of this study is to address the issue of service time uncertainty in synchromodal freight transport, which can cause delays, inefficiencies, and reduced satisfaction for shippers. The proposed solution is an online deep Reinforcement Learning (RL) approach that takes into account the service time uncertainty, assisted by an Adaptive Large Neighborhood Search (ALNS) heuristic that pro..." [More...]

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.   


Synchromodal freight transport re-planning under service time uncertainty: An online model-assisted reinforcement learning


"The objective of this study is to address the issue of service time uncertainty in synchromodal freight transport, which can cause delays, inefficiencies, and reduced satisfaction for shippers. The proposed solution is an online deep Reinforcement Learning (RL) approach that takes into account the service time uncertainty, assisted by an Adaptive Large Neighborhood Search (ALNS) heuristic that pro..." [More...]

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.   


Impact and relevance of transit disturbances on planning in intermodal container networks


"In North-West Europe, the options for intermodal inland transportation of containers are increasing. Inland corridors become increasingly interconnected in hinterland networks. To minimize operating costs, new methods are required that allow integral network operations management. The network operations consist of allocating containers to available inland transportation services, i.e. planning. Fo..." [More...]

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.   


Closed-loop scheduling and control of waterborne AGVs for energy-efficient Inter Terminal Transport


"We propose closed-loop energy-efficient scheduling and control of an autonomous Inter Terminal Transport (ITT) system using waterborne Autonomous Guided Vessels (waterborne AGVs). A novel pick-up and delivery problem considering safe intervals between berthing time slots of different waterborne AGVs is proposed. Waterborne AGVs are controlled in a cooperative distributed way to carry out assigned ..." [More...]

Closed-loop scheduling and control of waterborne AGVs for energy-efficient Inter Terminal Transport. H. Zheng, R.R. Negenborn, G. Lodewijks. Transportation Research Part E: Logistics and Transportation Review, vol. 105, pp. 261-278, September 2017.   


Adaptive control for autonomous ships with uncertain model and unknown propeller dynamics


"Motion control is one of the most critical aspects in the design of autonomousships. During maneuvering, the dynamics of propellers as well as the craft hy-drodynamical specifications experience sever uncertainties. In this paper, anadaptive control approach is proposed to control the motion and trajectorytracking of an autonomous vessel by adopting neural networks that is used f..." [More...]

Adaptive control for autonomous ships with uncertain model and unknown propeller dynamics. A. Haseltalab, R.R. Negenborn. Control Engineering Practice, vol. 91, no. 104116, October 2019.   


The value of information sharing for platform-based collaborative vehicle routing


"Cooperation is important in order to find efficient vehicle routing solutions for the growing transportation market. Increasingly, platforms emerge as facilitators for this kind of collaborative transportation. However, individual actors connected to a platform might refuse to share (parts of) their information due to reasons of competition. Though the need for realistic information sharing models..." [More...]

The value of information sharing for platform-based collaborative vehicle routing. J. Los, F. Schulte, M.T.J. Spaan, R.R. Negenborn. Transportation Research Part E: Logistics and Transportation Review, vol. 141, no. 102011, September 2020.   


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