Rudy Negenborn Full Professor Main Publications Team & Themes Education Resume Personal

Science in pictures To the point: Design and control of hybrid power and propulsion systems for smart ships: A review of developments "Power and propulsion of ships need to reduce fuel consumption and increase versatility. This paper classifies ship propulsion topologies into mechanical, electrical and hybrid propulsion, and power supply topologies into combustion, electrochemical, stored and hybrid power supply. We review opportunities and challenges of hybrid architectures and advanced control strategies that can reduce fuel c..." [More...] R.D. Geertsma, R.R. Negenborn, K. Visser, J.J. Hopman. Design and control of hybrid power and propulsion systems for smart ships: A review of developments. Applied Energy, vol. 194, pp. 30-54, 2017. Open Access.    Intermodal freight transport planning - A receding horizon control approach "This paper investigates intermodal freight transport planning problems among deep-sea terminals and inland terminals in hinterland haulage for a horizontally fully integrated intermodal freight transport operator at the tactical container flow level. An intermodal freight transport network (IFTN) model is first developed to capture the key characteristics of intermodal freight transport such as t..." [More...] L. Li, R.R. Negenborn, B. De Schutter. Intermodal freight transport planning - A receding horizon control approach. Transportation Research Part C, vol. 60, pp. 77-95, 2015.    Intermodal freight transport planning - A receding horizon control approach "This paper investigates intermodal freight transport planning problems among deep-sea terminals and inland terminals in hinterland haulage for a horizontally fully integrated intermodal freight transport operator at the tactical container flow level. An intermodal freight transport network (IFTN) model is first developed to capture the key characteristics of intermodal freight transport such as t..." [More...] L. Li, R.R. Negenborn, B. De Schutter. Intermodal freight transport planning - A receding horizon control approach. Transportation Research Part C, vol. 60, pp. 77-95, 2015.    Synchromodal container transportation: an overview of current topics and research opportunities "Renewed attention has emerged for the topic of intermodal transportation. Since a couple of years, research has focused on the concept of synchromodality. Synchromodality refers to creating the most efficient and sustainable transportation plan for all orders in an entire network of different modes and routes, by using the available flexibility. In this paper we provide an overview of relevant res..." [More...] B. van Riessen, R.R. Negenborn, R. Dekker. Synchromodal container transportation: an overview of current topics and research opportunities. In Proceedings of the 6th International Conference on Computational Logistics (ICCL'15), Delft, The Netherlands, pp. 386-397, September 2015.    Centralization or decentralization: A comparative analysis of port regulation modes "This paper studies the comparison of two kinds of port regulation modes - the centralization mode and the decentralization mode - using principal-agent theory and dynamic game theory. The optimal tariffs, port capacities and port efficiency levels under these two regulation modes are determined. The theoretical results are applied to the container terminals in Port of Shanghai in China. Sensitivit..." [More...] S. Zheng, R.R. Negenborn. Centralization or decentralization: A comparative analysis of port regulation modes. Transportation Research Part E: Logistics and Transportation Review, vol. 69, pp. 21-40, September 2014.    Distributed model predictive control for cooperative synchromodal freight transport "This paper investigates cooperative synchromodal freight transport planning among multiple intermodal freight transport operators in different and interconnected service networks. The cooperative planning is formulated as a cooperative model predictive container flow control problem, and solved with three Distributed Model Predictive Flow Control (DMPFC) approaches: the parallel and serial Augment..." [More...] L. Li, R.R. Negenborn, B. De Schutter. Distributed model predictive control for cooperative synchromodal freight transport. Transportation Research Part E: Logistics and Transportation Review, vol. 105, pp. 240-260, September 2017.    Even more to the point:

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