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
Massive introduction of
Sensing, Computation, and Communication Technologies
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]
[ Publications: Recent]
[ In pictures]
[ Control & Coordination]
[ Transport Logistics]
Recently added publications
C. Chen, F. Ma, J. Liu, R.R. Negenborn, Y. Liu, X. Yan. Controlling a cargo ship without human experience based on deep Q-network. Accepted for publication in Journal of Intelligent & Fuzzy Systems, 2020. B. Beirigo, F. Schulte, R.R. Negenborn. Overcoming mobility poverty with shared autonomous vehicles: A learning-based optimization approach for Rotterdam Zuid. Accepted for the 11th International Conference on Computational Logistics (ICCL'20), Enschede, The Netherlands, September 2020. R.B. Larsen, B. Atasoy, R.R. Negenborn. Learning-based co-planning for improved container, barge and truck routing. Accepted for the 11th International Conference on Computational Logistics (ICCL'20), Enschede, The Netherlands, September 2020. J. Los, F. Schulte, M. Gansterer, R.F. Hartl, M.T.J. Spaan, R.R. Negenborn. Decentralized combinatorial auctions for dynamic and large-scale collaborative vehicle
routing. Accepted for the 11th International Conference on Computational Logistics (ICCL'20), Enschede, The Netherlands, September 2020. N. Neijmeijer, F. Schulte, K. Tierney, H. Polinder, R.R. Negenborn. Dynamic pricing for user-based rebalancing in free-floating vehicle sharing: A real-world case. Accepted for the 11th International Conference on Computational Logistics (ICCL'20), Enschede, The Netherlands, September 2020.
How will autonomous ships work?
Research in Sketches
Active topic cloud (past 3 years)
transport over water,
control of ships
transportation networks, inter-terminal transport
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"
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"
"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
Inter Terminal Transport at the Port of Rotterdam
Towards guaranteed port accessibility
Innovational Research Incentives
Scheme 2010 VENI
AIDA -- The Booklet
Automatic Research Positioning & Trend Identification
Journal Special Issues
Computational Transport Logistics at Work
(Special issue of Transportation Research Part E)
(Special issue of SWZ Maritime 2017/02)
(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?