Rudy Negenborn Full Professor, Head of Section Latest news: RT @tudelft: TU Delft’s Rudy Negenborn @rnegenborn and Matthijs Spaan talk about the solutions that AI research is offering for growing tra… RT @NLAICoalitie: Vandaag publiceert de werkgroep Haven en Maritiem van de NL AIC het position paper ‘Koersen op AI’, waarin de maritieme a…[More on Twitter] Main Publications Team & Themes Education Resume

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 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 10x Delfia-1 Star Delfia-Amphibian SeaBax-Inside SeaBax-Outside Tito Neri Quality Care Friends of the Family GeoSurveyor X by GEOxyz (ISHY partner) (Photo courtesy GEOxyz) Vera Cruz by Vera Cruz Shipping (ISHY partner) WUT-1 by Wuhan University of Technology Natalia by Hybrid Marine (ISHY partner) Hybrid Tug by Damen TU Delft Electric Autonomous Vehicle (Concept by L. Braam) NOVIMOVE News 2020 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:    More information on currently open vacancies? [Click here] 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] Prospective students Multi-Machine Engineering (MME): Interested in becoming a multi-machine Master of Science at TU Delft? This video tells you all about our 2-year MSc program. Spotlight publication Dynamic optimization of ship energy efficiency considering time-varying environmental factors "Nowadays, optimization of ship energy efficiency attracts increasing attention in order to meet the requirement for energy conservation and emission reduction. Ship operation energy efficiency is significantly influenced by environmental factors such as wind speed and direction, water speed and depth, etc. Owing to inherent time-variety and uncertainty associated with these various factors, it is ..." [More...] K. Wang, X. Yan, Y. Yuan, X. Jiang, X. Lin, R.R. Negenborn. Dynamic optimization of ship energy efficiency considering time-varying environmental factors. Transportation Research Part D: Transport and Environment, vol. 62, pp. 685-698, July 2018.    Publications: [Recent] [All] [In pictures] [Control & Coordination] [Transport Logistics] Recently added publications P.S. Bouwstra, G. Correia, P. Bijl, R.R. Negenborn, B. Atasoy. Stochastic and dynamic routing with flexible deliveries for an e-grocer. Accepted for the 24th IEEE Intelligent Transportation Systems Conference (IEEE ITSC'21), Indianapolis, Indiana, September 2021.    W. Guo, B. Atasoy, W.W.A. Beelaerts van Blokland, R.R. Negenborn. Global synchromodal transport with dynamic and stochastic shipment matching. Accepted for publication in Transportation Research Part E: Logistics and Transportation Review, 2021.    R.B. Larsen, J.M. Sprokkereef, B. Atasoy, R.R. Negenborn. Integrated mode choice and vehicle routing for container transport. Accepted for the 24th IEEE Intelligent Transportation Systems Conference (IEEE ITSC'21), Indianapolis, Indiana, September 2021.    X. Wang, U. Shipurkar, A. Haseltalab, H. Polinder, F. Claeys, R.R. Negenborn. Sizing and control of a hybrid ship propulsion using multi-objective double-layer optimization. IEEE Access, vol. 9, pp. 72587-72601, 2021. Open access.    M. Li, X. Jiang, R.R. Negenborn. Opportunistic maintenance for offshore wind farms with multiple-component age-based preventive dispatch. Ocean Engineering, vol. 231, no. 109062, July 2021. 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 H2020 MG-2-6-2019 -- NOVIMOVE: "Novel inland waterway transport concepts" Promoting Green Transport and Mobility: "AVATAR" Maritime Innovation-Impulse Project: NoMES: Novel and Minimized Emissons Shipping NWO Topsector Water & Maritiem: Blauwe Route -- "TRiLOGy" and "READiNESS" 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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