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
1 PhD position, 2 post-doc postions, 1 tenure track faculty position Vacancies:
Hybrid model predictive control using time-instant optimization for the Rhine-Meuse Delta
"In order to provide safety against high sea water levels, in many low-lying countries on the one hand dunes are maintained at a certain safety level and dikes are built, while on the other hand large control structures that can be dynamically controlled are constructed. Currently, these structures are often operated purely locally, without coordination on actions between different structures. Auto..." [ More...] H. van Ekeren, R.R. Negenborn, P.J. van Overloop, B. De Schutter. Hybrid model predictive control using time-instant optimization for the Rhine-Meuse Delta. In Proceedings of the 2011 IEEE International Conference on Networking, Sensing and Control (ICNSC 2011), Delft, The Netherlands, pp. 216-221, April 2011.
[ Publications: Recent]
[ In pictures]
[ Control & Coordination]
[ Transport Logistics]
Recently added publications
A. Haseltalab, R.R. Negenborn. Model predictive maneuvering control and energy management for all-electric autonomous ships. Accepted for publication in Applied Energy, 2019. S. Li, J. Liu, R.R. Negenborn. Distributed coordination for collision avoidance of multiple ships considering ship maneuverability. Ocean Engineering, vol. 181, pp. 212-226, June 2019. L. Chen, A. Haseltalab, V. Garofano, R.R. Negenborn. Eco-VTF: Fuel-efficient vessel train formations for all-electric autonomous ships. Accepted for the 2019 European Control Conference (ECC'19), Naples, Italy, June 2019. J.P. Sprong, J.M. Maestre, X. Lin, R.R. Negenborn. Quality-aware control for optimizing meat supply chains. Accepted for the 2019 European Control Conference (ECC'19), Naples, Italy, June 2019. R.B. Larsen, B. Atasoy, R.R. Negenborn. Simultaneous planning of container and vehicle-routes using model predictive control. Accepted for the 2019 European Control Conference (ECC'19), Naples, Italy, June 2019.
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
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?