Rudy Negenborn Full Professor Director of Studies MSc TIL Latest news: Fascinated by Autonomous Ships? We're looking for a TU Delft/AMS program developer "Autonomous Ships in Amsterdam"… https://t.co/ThYWtoa0Nm Nominated for Best Manuscript 2017 MPM Journal: "Terminal investment timing decisions in a competitive setting", Ma… https://t.co/xrTATqFwnX[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: 1 post-doc vacancies and 1 tenure track faculty position open for application Spotlight publication 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.    Publications: [Recent] [All] [In pictures] [Control & Coordination] [Transport Logistics] Recently added publications X. Yan, K. Wang, Y. Yuan, X. Jiang, R.R. Negenborn. Energy-efficient shipping: An application of big data analysis for optimizing engine speed of inland ships considering multiple environmental factors. Ocean Engineering, vol. 169, pp. 457-468, 2018.    S. Olaru, P. McNamara, J.C. Canizares, M. Farina, J.M. Maestre, P. Trodden, R.R. Negenborn. Life lessons from and for distributed MPC - Part 2: Choice of decision makers. Accepted for the 18th IFAC Conference on Technology, Culture, and International Stability (IFAC TECIS 2018), Baku, Azerbaijan, September 2018.    P. McNamara, R.R. Negenborn, J.C. Canizares, M. Farina, J.M. Maestre, S. Olaru, P. Trodden. Life lessons from and for distributed MPC - Part 1: Dynamics of cooperation. Accepted for the 18th IFAC Conference on Technology, Culture, and International Stability (IFAC TECIS 2018), Baku, Azerbaijan, September 2018.    R.D. Geertsma, K. Visser, R.R. Negenborn. Adaptive pitch control for ships with diesel mechanical and hybrid propulsion. Applied Energy, vol. 228, pp. 2490-2509, 2018. Open Access.    S. Li, R.R. Negenborn, J. Liu. Stimulating inland waterway transport between seaports and the hinterland from a coordination perspective. Accepted for the 9th International Conference on Computational Logistics (ICCL 2018), Vietri sul Mare, Italy, October 2018.    [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 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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