Rudy Negenborn Full Professor, Head of Section Latest news: 7 PhD and PostDoc positions on sustainable transport & logistics, autonomous vessel technology, inland waterway con… https://t.co/sYMKgHVVV7 RT @dingenasch: Interesting views presented during our @SpaceAtSea workshop at @PortofAntwerp organised by our @tudelft3mE team. With @dsou…[More on Twitter] Main Publications Team & Themes Education Resume Personal

Transport Engineering and Logistics Dept. of Maritime and Transport Technology Delft University of Technology Mekelweg 2, 2628 CD  Delft The Netherlands Room B-3-300 How to reach Faculty 3mE How to reach my office tel: +31 (0) 15 27 86718 fax: +31 (0) 15 27 81397 contact form: Click here e-mail: r.r.negenborn@tudelft.nl secretary: Patty Bokop-van der Stap tel: +31 (0)15 27 86529 LinkedIn Twitter Autonomous Vessel Family Interacting Vessels Delfia-1 Star Delfia-1 [in action] Delfia-Amphibian SeaBax-Inside SeaBax-Outside Tito Neri Quality Care Hybrid Tug Friend of the Family: WUT-1 (Wuhan University of Technology) Friend of the Family: Vosper Perkasa (Wuhan University of Technology) Computational Logistics 2015 ICCL'15 - International Conference on Computational Logistics (ICCL) 2015 Delft, The Netherlands Main research interests: Coordination within and among transport hubs 4S Framework: Real-time coordination of Smart Equipment in Smart Hubs for Smart Ports in Smart Networks Anticipating the Massive introduction of Sensing, Computation, and Communication Technologies       Vacancies: 7 PhD and PostDoc positions opening soon Inauguration Speech on communication, logistics, autonomous ships, and multi-machine engineering "What if ships could talk?", or: Coordination for Real-Time Logistics [Watch the public presentation online] Spotlight publication 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.    Publications: [Recent] [All] [In pictures] [Control & Coordination] [Transport Logistics] Recently added publications W. Guo, B. Atasoy, W.W.A. Beelaerts-van Blokland, R.R. Negenborn. A dynamic and stochastic shipment matching problem in multimodal transportation. Transportation Research Record, pp. 1-12, 2020.    J. Xin, J. Peng, F. Schulte, R.R. Negenborn. A time-space network model for collision-free routing of planar motions in a multi-robot station. IEEE Transactions on Industrial Informatics, 2020. Early access.    L. Wang, Q. Wu, J. Liu, S. Li, R.R Negenborn. Ship motion control based on AMBPS-PID algorithm. IEEE Access, vol. 7, no. 1, pp. 183656-183671, December 2019. Open access.    K. Wang, J. Li, X. Yan, L. Huang, X. Jiang, Y. Yuan, R. Ma, R.R. Negenborn. A novel bi-level distributed dynamic optimization method of ship fleets energy consumption. Ocean Engineering, vol. 197, no. 106802, February 2020.    L. Wang, Q. Wu, J. Liu, S. Li, R.R. Negenborn. State-of-the-art research on motion control of maritime autonomous surface ships. Journal of Marine Science and Engineering, vol. 7, no. 12, December 2019. Open access.    [More...] Infographics How will autonomous ships work? Books        Research in Sketches [More...] Active topic cloud (past 3 years) Keywords logistics, intermodal transport, container transport transport over water, control of ships transportation networks, inter-terminal transport water networks power networks, gas networks multi-agent systems, model predictive control, hybrid systems reinforcement learning, Kalman filters, learning robots The Brain of TU Delft Interreg 2 Seas: "ISHY: Implementation of Ship Hybridisation" A multi-machine engineering perspective H2020 EU.3.2.5 2017: Cross-cutting marine and maritime research: "Space@Sea -- Transport & Logistics" "Impulse Autonomous Shipping for Amsterdam 2018" SmartPort 2017 "Port Impact of Autonomous Ship Applications" NWO Social & Physical Sciences 2016 "Complexity Methods for Predictive Synchromodality" (COMET-PS) STW Perspectief 2015 Program "i-CAVE" Strategic Innovation Project AIDA: Automatic Identification of Research Trends STW Water 2015 Program "GasDrive" Topsector Water/STW Maritime 2013 Program "ShipDrive" Inter Terminal Transport at the Port of Rotterdam [More...]      Towards guaranteed port accessibility [More...] Innovational Research Incentives Scheme 2010 VENI Grant [More...] AIDA -- The Booklet Automatic Research Positioning & Trend Identification Journal Special Issues Computational Transport Logistics at Work (Special issue of Transportation Research Part E) Autonomous Ships (Special issue of SWZ Maritime 2017/02) Propulsion Systems (Special issue of SWZ Maritime 2015/10) Water Prediction and Control Technology (Special issue of Journal of Hydroinformatics) Videos on Inter Terminal Transport Opportunities for Real-Time Coordination Automated MTS and waterborne AGVs as solution?

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