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

Science in pictures To the point: Survey on ASV technology developments and readiness levels for autonomous shipping "Recently, Autonomous Surface Vessels (ASVs) have attracted a lot of attention. Developing a fully autonomous vessel is challenging. Existing research provides a track from existing vessels to a remotecontrolled vessel with reduced crews, an unmanned remote-controlled vessel, and at the end, a fully autonomous vessel. The first step is to equip existing vessels to realize autonomous sailing. In thi..." [More...] L.E. van Cappelle, L. Chen, R.R. Negenborn. Survey on ASV technology developments and readiness levels for autonomous shipping. Accepted for the 9th International Conference on Computational Logistics (ICCL 2018), Vietri sul Mare, Italy, October 2018.    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.    Autonomous surface vessels in ports: Applications, technology and port infrastructures "Autonomous Surface Vessels (ASVs) have various applications in the marine sector. However, considerable challenges need to be met before in-tegrating the applications in the current environment. Moreover, infrastructures in ports and waterways need to be upgraded to satisfy the requirements for ASV applications. To have an insight into the potential of ASVs in ports, we analyze the applications of..." [More...] A. Devaraju, L. Chen, R.R. Negenborn. Autonomous surface vessels in ports: Applications, technology and port infrastructures. Accepted for the 9th International Conference on Computational Logistics (ICCL 2018), Vietri sul Mare, Italy, October 2018.    Predictive path following with arrival time awareness for waterborne AGVs "Large ports are seeking innovative logistical ways to improve their competitiveness worldwide. This article proposes waterborne AGVs, inspired by conventional AGVs and Autonomous Surface Vessels, for transport over water. A predictive path following with arrival time awareness controller is proposed for such waterborne AGVs. The controller is able to achieve smooth tracking and energy efficiency w..." [More...] H. Zheng, R.R. Negenborn, G. Lodewijks. Predictive path following with arrival time awareness for waterborne AGVs. Transportation Research Part C, vol. 70, pp. 214-237, September 2016.    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.    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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